JP2015173573A - Predictor and computer program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a predictor and a computer program capable of predicting an electricity demand according to a future power consumption schedule.SOLUTION: The predictor has prediction means. The prediction means predicts the electricity amount consumed in a facility as a prediction target in a predetermined period based on a piece of measurement information which represents the power consumption in the past and a schedule information which represents the power consumption in the future in the facility.

Description

  Embodiments described herein relate generally to a prediction apparatus and a computer program.

In facilities that consume a lot of power, such as factories and plants, the amount of power that can be consumed within a predetermined period is predetermined in a supply-demand contract between a power supply company and a business operator that operates the facility. . If more than a predetermined amount of power is consumed, the power charge is raised and the economic burden increases. Therefore, a power demand prediction apparatus that monitors the power consumption state and notifies the user as necessary has been put into practical use.
However, the conventional power demand prediction apparatus predicts future power demand based on information on the amount of power consumed in the past. Therefore, there is a possibility that the validity of the future power consumption plan cannot be judged in advance.

JP 05-168154 A

  The problem to be solved by the present invention is to provide a prediction device and a computer program capable of more accurately predicting the amount of power consumed within a predetermined period.

  The prediction device of the embodiment has a prediction means. The prediction unit is configured to measure the amount of power consumed in the facility within a predetermined period based on measurement information representing past power consumption in the facility to be predicted and plan information representing a plan for future power consumption in the facility. Predict.

The functional block diagram which shows the function structure of the demand prediction apparatus 1 of 1st Embodiment. The figure which shows the specific example of the measurement information table 131. The figure which shows the specific example of the power consumption plan table 132. FIG. The figure which shows the specific example of the load change plan table 133. FIG. The figure which shows the specific example of the power consumption estimated by the demand prediction apparatus 1. FIG. The figure which shows the specific example of the power consumption estimated by the demand prediction apparatus 1. FIG. The flowchart showing the flow of the process in which the demand prediction apparatus 1 of 1st Embodiment estimates an electric power demand. The figure which shows the specific example of the power consumption estimated by the demand prediction apparatus 1. FIG. The figure which shows the specific example of the power consumption estimated by the demand prediction apparatus 1. FIG. The figure which shows the specific example of the power consumption estimated by the conventional demand prediction apparatus. The functional block diagram which shows the function structure of the demand prediction apparatus 1a of 2nd Embodiment. The system block diagram which shows the system configuration | structure of the demand prediction system 7 of 3rd Embodiment. The sequence diagram showing the flow of a process of the demand prediction system 7 of 3rd Embodiment. The figure which shows the specific example of the screen which displays a prediction result.

Hereinafter, a prediction device and a computer program according to embodiments will be described with reference to the drawings.
(First embodiment)
FIG. 1 is a functional block diagram illustrating a functional configuration of the demand prediction apparatus 1 according to the first embodiment.
The demand prediction apparatus 1 includes a CPU (Central Processing Unit), a memory, an auxiliary storage device, and the like connected by a bus, and executes a demand prediction program. The demand prediction apparatus 1 functions as an apparatus including a measurement information input unit 11, a plan information input unit 12, a storage unit 13, a prediction unit 14, and a display unit 15 by executing a demand prediction program.
All or some of the functions of the demand prediction device 1 may be realized using hardware such as an application specific integrated circuit (ASIC), a programmable logic device (PLD), or a field programmable gate array (FPGA). . The demand prediction program may be recorded on a computer-readable recording medium. The computer-readable recording medium is, for example, a portable medium such as a flexible disk, a magneto-optical disk, a ROM, a CD-ROM, or a storage device such as a hard disk built in the computer system. The demand prediction program may be transmitted via a telecommunication line.

  The measurement information input unit 11 is an input device for inputting power consumption information (hereinafter, referred to as “measurement information”) measured in a demand facility (hereinafter, “target facility”) to be predicted. The measurement information input unit 11 is configured using an input device such as a keyboard, a mouse, or a touch panel. The measurement information input unit 11 may be configured as an input interface for connecting the above input device. The measurement information input unit 11 may be configured as a device that reads measurement information from a recording medium such as a flash memory or a CD-ROM. The plan information input unit 11 may be configured as a functional unit that acquires plan information received via a network and inputs the plan information to the own device. The measurement information input unit 11 outputs the acquired measurement information to the storage unit 13.

  The plan information input unit 12 is an input device for inputting information (hereinafter referred to as “plan information”) representing a plan of future power consumption in the target facility. The plan information input unit 12 is configured using an input device such as a keyboard, a mouse, or a touch panel. The plan information input unit 12 may be configured as an input interface for connecting the above input device to the demand prediction device 1. The plan information input unit 12 may be configured as a device that reads plan information from a recording medium such as a flash memory or a CD-ROM. The plan information input unit 12 outputs the acquired plan information to the storage unit 13.

  Note that the plan information is input in either a power consumption plan or a load change plan, for example. The power consumption plan is plan information represented by the amount of power and information indicating the timing at which the amount of power is consumed. For example, the power consumption plan is information representing a plan of “consuming kWh of electric energy between 0:00 and 0:00 on XX month and XX day”. In addition, for example, the power consumption plan is information representing a plan of “consuming power at a rate of ○ kW / h from ○ hour to ○ hour of ○ month ○ day”.

  The load change plan is plan information represented by the type of electric device that consumes power and information indicating the timing of operating the electric device. For example, the load change plan is information representing a plan that “O pumps of kW / h are to be operated between XX hours on XX month and XX hours”. In addition, for example, the load change plan is information indicating a plan that “O pumps of ○ kW / h are additionally operated every ○ hour from ○ hour of ○ month ○ day”.

  The format in which the plan information is input is not limited to the power consumption plan and the load change plan, and may be any other format as long as it is information representing a plan for future power consumption in the target facility. Further, the power consumption plan and the load change plan may be different from the above as long as it is information that allows calculation of the period to be planned and the power consumed in the period.

  The storage unit 13 is configured using a storage device such as a magnetic hard disk device or a semiconductor storage device. The storage unit 13 stores measurement information and plan information. The storage unit 13 stores a measurement information table 131, a power consumption plan table 132, and a load change plan table 133 in advance. The measurement information table 131 is a table in which measurement information is accumulated. The power consumption plan table 132 is a table in which plan information input in the form of a power consumption plan is registered. The load change plan table 133 is a table in which plan information input in the form of a load change plan is registered.

  The prediction unit 14 predicts the amount of power consumed within a predetermined period in the target facility based on the measurement information and the plan information stored in the storage unit 13. The prediction unit 14 outputs the prediction result to the display unit 15.

  The display unit 15 is a display device such as a CRT (Cathode Ray Tube) display, a liquid crystal display, an organic EL (Electro Luminescence) display, or a touch panel. The display unit 15 may be configured as an interface for connecting the display device to the demand prediction device 1. The display unit 15 displays the prediction result of the power demand in the target facility predicted by the prediction unit 14.

FIG. 2 is a diagram illustrating a specific example of the measurement information table 131.
The measurement information table 131 has a measurement information record for each time information. A measurement information record has each value of time information and electric power information. The time information is information representing the date and time when the measurement information is acquired. The power information is information regarding the power consumed in the target facility. The power information in FIG. 2 represents the amount of power consumed between the time indicated by the time information value and the time indicated by the time information value of the immediately preceding measurement information record. The power information may represent power at the time indicated by the time information value. The power information may be an average of the amount of power consumed between the time indicated by the time information value and the time indicated by the time information value of the immediately preceding measurement information record. For example, the example of FIG. 2 shows that 0.8 kWh of electric power was consumed between 10:00 and 11:00 on January 1, 2014. The measurement information record is registered in the measurement information table 131 by the measurement information input unit 11.

FIG. 3 is a diagram illustrating a specific example of the power consumption plan table 132.
The power consumption plan table 132 has a power consumption plan record for each period information. The power consumption plan record has values of period information and power information. The period information is information representing a period during which the planned power is consumed. The power information is information regarding the power that is planned to be consumed during the period indicated by the value of the period information. The power information in FIG. 3 represents the amount of power consumed during the period indicated by the period information. The power information may be the amount of power consumed during the unit time of the period indicated by the period information. For example, in the example of FIG. 3, a plan for consuming 20 kWh of power from 10:00 on January 1, 2014 to 10:00 on January 2, 2014 is shown. The power consumption plan record is registered in the power consumption plan table 132 by the plan information input unit 12.

FIG. 4 is a diagram illustrating a specific example of the load change plan table 133.
The load change plan table 133 has a load change plan record for each period information. A load change plan record has each value of period information, object apparatus, and electric power characteristics. The period information is information that represents a period during which the electric device to be planned is operated. The target device is information representing an electric device to be planned. The power characteristic is information regarding the power consumed by the electric device indicated by the value of the target device. The power characteristics in FIG. 4 represent the power required to operate the electrical device indicated by the value of the target device. The power characteristic may be the amount of power consumed by the electric device indicated by the value of the target device during a unit time. For example, the example of FIG. 4 shows a plan for operating the pump A that requires akW from 10:00 on January 1, 2014 to 10:00 on January 2, 2014. The load change plan record is registered in the load change plan table 133 by the plan information input unit 12. The load change plan registered in the load change plan table 133 is converted into a power consumption plan in the process in which the demand prediction device 1 predicts the power demand.

FIG. 5 is a diagram illustrating a specific example of the power consumption predicted by the demand prediction apparatus 1.
In FIG. 5, the horizontal axis T represents time. T0 represents the start date and time of the set period, and T1 represents the end date and time of the set period. The set period is a period for which the demand prediction apparatus 1 performs prediction. T2 represents the current date and time within the set period. The vertical axis W represents the amount of power. The amount of power W at time T is a cumulative value of the amount of power consumed from T0 to time T. That is, the electric energy W at T0 is “0”. WMAX represents an upper limit of the amount of power that can be used within a set period, which is set in advance based on a supply and demand contract with a power supply company.

  The measurement value group 2 is a set of points in which measurement information in a period from T0 to T2 is plotted in FIG. The demand prediction device 1 takes statistics of the measurement value group 2, determines an approximate curve representing the distribution of the measurement value group 2, and sets it as the prediction curve 3 representing the power consumption during the set period. A prediction curve 3 in FIG. 5 shows an example when the distribution of the measurement value group 2 is approximated by a straight line. Any statistical method may be used as a method of determining the approximate curve. By obtaining the prediction curve 3, the power consumption amount at T1 becomes W1, and it is predicted that the upper limit WMAX of the power amount that can be used at the end date and time T1 of the set period will not be exceeded. TMAX represents the date and time when the power consumption is predicted to reach WMAX.

FIG. 6 is a diagram illustrating a specific example of the power consumption predicted by the demand prediction apparatus 1.
In FIG. 6, the meaning of the legend of time T and electric energy W is the same as that in FIG. In FIG. 6 and the following description, the measured value group 2 in FIG. The actual curve 4 is a curve that approximates the amount of power used from T0 to T2, and the prediction curve 3 is determined based on the actual curve 4. In the example of FIG. 5, it is predicted that the upper limit WMAX of the usable electric energy will not be exceeded at the end date / time T1 of the set period. In the example of FIG. 6, until the end date / time T1 of the set period arrives. Is expected to exceed WMAX.
When the demand prediction device 1 is predicted to exceed the upper limit WMAX of the amount of power that can be used at the end date and time T1 of the setting period as in the example of FIG. To be notified.

  By such a prediction function of the demand prediction apparatus 1, the person in charge of the target facility can grasp the power usage status in the target facility and review the operation plan of the target facility as necessary. Furthermore, the demand prediction apparatus 1 of the present embodiment predicts the future power consumption based on the future operation plan (plan information) of the target facility.

FIG. 7 is a flowchart showing a flow of processing in which the demand prediction apparatus 1 according to the first embodiment predicts power demand.
First, the measurement information input unit 11 receives an input of measurement information (step S101). The measurement information input unit 11 determines whether measurement information is input (step S102). When measurement information has not been input (step S102—NO), the process returns to step S101, and the measurement information input unit 11 repeats reception of input of measurement information. When the measurement information is input (step S102—YES), the plan information input unit 12 receives the input of the plan information (step S103).

  The plan information input unit 12 determines whether plan information has been input (step S104). When the plan information is not input (step S103—NO), the prediction unit 14 predicts the future power consumption in the target facility based on the acquired measurement information (step S105). The prediction unit 14 outputs the prediction result to the display unit 15. The display unit 15 displays the prediction result (step S106).

  On the other hand, when plan information is input in step S104 (step S104-YES), the input format of the input plan information is determined (step S107). When the plan information is input in the form of a load change plan (step S106—load change plan), the prediction unit 14 converts the input load change plan into a power consumption plan (step S108). The prediction unit 14 predicts future power consumption in the target facility based on the measurement information acquired in step S102 and the power consumption plan converted from the load change plan (step S109). The prediction unit 14 outputs the prediction result to the display unit 15. Then, the process proceeds to step S106, and the display unit 15 displays the prediction result (step S110).

FIG. 8 is a diagram illustrating a specific example of the power consumption predicted by the demand prediction device 1.
In FIG. 8, the meanings of legends of time T and electric energy W are the same as those in FIG. The example of FIG. 8 represents the power consumption predicted based on the future operation plan (plan information) in the target facility. In the example of FIG. 8, the plan information that the power amount of W3-W2 is consumed between T2 and T3 is input. The demand prediction apparatus 1 determines the plan curve 5 based on the inputted plan information. The power consumption predicted between T3 and T1 is determined as the prediction curve 3 based on the performance curve 4. In the example of FIG. 8, it is predicted that the upper limit WMAX of the amount of power that can be used is not exceeded before the end date and time T1 of the set period arrives.

FIG. 9 is a diagram illustrating a specific example of the power consumption predicted by the demand prediction apparatus 1.
In FIG. 9, the meanings of legends of time T and electric energy W are the same as those in FIG. The example of FIG. 9 represents the power consumption predicted based on the future operation plan (plan information) in the target facility. In the example of FIG. 9, the plan information that the power amount of W3-W2 is consumed between T2 and T3 is input. The demand prediction apparatus 1 determines the plan curve 5 based on the inputted plan information. The power consumption predicted between T3 and T1 is determined as the prediction curve 3 based on the performance curve 4. In the example of FIG. 8, it is predicted that the upper limit WMAX of the amount of power that can be used is not exceeded at the end date / time T1 of the set period. In the example of FIG. 9, until the end date / time T1 of the set period arrives. Is expected to exceed WMAX.

  The demand prediction device 1 of the first embodiment configured as described above predicts the power consumption amount in the set period based on the past power consumption amount in the target facility and the plan of the future power consumption in the target facility. Do it. Therefore, the user of the demand prediction apparatus 1 can determine in advance the validity of a plan for future power consumption.

Furthermore, the demand prediction device 1 according to the first embodiment can more accurately notify the person in charge of the target facility based on the prediction result of the power demand. Specific examples thereof will be described below.
The conventional demand prediction apparatus performs power consumption during a set period based only on past power consumption. Therefore, even if it is a change to an operation plan that is designed not to exceed the upper limit WMAX of the amount of power that can be used in the set period, the result of prediction based on the amount of power actually consumed In some cases, unnecessary notifications were made to the person.

FIG. 10 is a diagram illustrating a specific example of power consumption predicted by a conventional demand prediction apparatus.
In FIG. 10, the meanings of legends for time T and electric energy W are the same as those in FIG. FIG. 10 shows a case where the operation plan indicated by the prediction curve 3, the performance curve 4 and the plan curve 5 in FIG. 8 is actually operated. A prediction curve 3 ′ in FIG. 10 is a prediction curve predicted at T3 ′. In this case, in the conventional demand prediction device, it is predicted that the predicted power consumption always exceeds the upper limit WMAX of the usable power amount during T3 to T3 ′. As a result, even if the operation plan is designed so as not to exceed the upper limit WMAX of the amount of power that can be used in T1, an unnecessary notification is made to the person in charge of the target facility between T3 and T3 ′. .

  The demand prediction device 1 of the first embodiment can more accurately notify the person in charge of the target facility by predicting the amount of power consumption based on a plan for future power consumption.

(Second Embodiment)
FIG. 11 is a functional block diagram illustrating a functional configuration of the demand prediction apparatus 1a according to the second embodiment.
In FIG. 11, functional units having the same functions as those in FIG. 1 are denoted by the same reference numerals as those in FIG. The demand prediction device 1a of the second embodiment is different from the demand prediction device 1 of the first embodiment in that the communication unit 16 is provided.
The communication unit 16 is configured using a communication interface such as a LAN (Local Area Network). The communication unit 16 communicates with the external system 6.
The external system 6 is a system that generates plan information representing the operation plan of the target facility. For example, the external system 6 creates plan information based on information such as a pattern of power consumption in the target facility, weather, and temperature. The external system 6 transmits the created plan information of the target facility to the demand prediction device 1a as plan information for the demand prediction device 1a to predict the amount of power consumption in the target facility.

  The demand prediction device 1a according to the second embodiment configured as described above includes the communication unit 16 so that the plan information necessary for prediction of the power consumption amount in the target facility can be acquired from an external system. Become. Therefore, the user can more easily input plan information necessary for prediction of power consumption into the demand prediction apparatus 1a.

(Third embodiment)
FIG. 12 is a system configuration diagram illustrating a system configuration of the demand prediction system 7 according to the third embodiment.
12, functional units having the same functions as those in FIG. 11 are denoted by the same reference numerals as those in FIG. The demand prediction system 7 includes a demand prediction device 1b, an external system 6, and a plant control device 81.
The demand prediction device 1b of the third embodiment is different from the demand prediction device 1a of the second embodiment in that it includes a storage unit 13b, a prediction unit 14b, an approval operation input unit 17, and a plan information output unit 18.

The storage unit 13b stores charge information for calculating a power charge in addition to the information stored in the storage unit 13.
In addition to the functions provided in the prediction unit 14, the prediction unit 14b calculates a power charge charged for the predicted power consumption. The prediction unit 14b calculates a power charge charged for the predicted power consumption based on the charge information stored in the storage unit 13b. The prediction unit 14 b outputs the predicted power consumption information and the power charge information to the display unit 15. Furthermore, the prediction unit 14b displays a menu (hereinafter referred to as “approval menu”) for the user to input whether or not to approve the predicted operation plan and apply it to the target facility.

  The approval operation input unit 17 is an input device for a user to input an approval operation from an approval menu. The approval operation input unit 17 is configured using an input device such as a keyboard, a mouse, or a touch panel. The approval operation input unit 17 may be configured as an input interface for connecting the input device to the demand prediction device 1b. The approval operation input unit 17 outputs the acquired input information to the plan information output unit 18 and instructs to apply the plan information of the operation plan for which the prediction has been performed to the target facility.

  The plan information output unit 18 acquires, from the storage unit 13b, plan information of the operation plan for which prediction has been performed, in response to an instruction from the approval operation input unit 17. The plan information output unit 18 transmits the acquired plan information to the plant control device 81 via the communication unit 16.

  The plant control device 81 is a device that controls the operation of the target facility. In the case of FIG. 12, the plant control device 81 controls the operation of the plant 8. The plant control device 81 is connected to a network 82 that connects devices in the plant 8 and can communicate with the electric energy measuring device 83 and the electric devices 84-1 to 84-3. In the example of FIG. 12, three electric devices 84-1 to 84-3 are shown as the electric devices to be controlled by the plant control device 81, but the electric devices to be controlled are illustrated in FIG. It may be a different number. The plant control device 81 applies the plan information acquired from the demand prediction device 1b to the electric devices 84-1 to 84-3. Moreover, the plant control apparatus 81 acquires the information (measurement information) of the electric energy consumed in the plant 8 from the electric energy measuring apparatus 83, and transmits it to the demand prediction apparatus 1b.

The power amount measuring device 83 is a device that measures the amount of power consumed in the plant 8.
The plant 8 is a facility (target facility) that is a target for which power consumption is predicted by the demand prediction system 7. Electric power is supplied from the power system 85 to the electrical equipment in the plant 8. The power amount measuring device 83 transmits the measured power amount to the plant control device 81 as measurement information.

FIG. 13 is a sequence diagram illustrating the flow of processing of the demand prediction system 7 according to the third embodiment.
First, the plant control device 81 of the plant 8 transmits the measurement information acquired from the electric energy measurement device 83 to the demand prediction device 1b (step S201). The demand prediction apparatus 1b receives measurement information (step S202). The measurement information input unit 11 of the demand prediction device 1b acquires measurement information and registers it in the measurement information table 131 of the storage unit 13b.
Moreover, the external system 6 transmits the plan information showing the operation plan produced | generated about the plant 8 to the demand prediction apparatus 1b (step S203). The demand prediction apparatus 1b receives plan information (step S204). The plan information input unit 12 of the demand prediction apparatus 1b acquires plan information and registers it in the power consumption plan table 132 or the load change plan table 133 of the storage unit 13b.

  The prediction unit 14b of the demand prediction device 1b predicts the power consumption of the plant 8 in the set period based on the past power consumption (measurement information) in the plant 8 and the future operation plan (plan information) ( Step S205). The prediction unit 14b calculates a power charge charged for the predicted power consumption based on the charge information stored in the storage unit 13b and the predicted power consumption (step S206). The prediction unit 14b outputs the predicted power consumption information and the calculated power charge information to the display unit 15 to instruct the display of the approval menu. The display unit 15 displays the predicted power consumption information, the calculated power charge information, and the approval menu (step S207).

  The approval operation input unit 17 of the demand prediction device 1b receives an input of the user's approval operation for the operation plan for which the prediction is performed (step S208). When the approval operation is input, the approval operation input unit 17 instructs the plan information output unit 18 to transmit the plan information of the operation plan for which the prediction has been performed to the plant 8. The plan information output unit 18 acquires plan information of the operation plan for which the prediction has been made from the storage unit 13b. The plan information output unit 18 transmits the acquired plan information to the plant 8 (step S209).

  The plant control device 81 of the plant 8 receives the plan information (step S210). The plant control device 81 updates the operation plan of the electric devices 84-1 to 84-3 in the plant 8 based on the acquired plan information (step S211).

FIG. 14 is a diagram illustrating a specific example of a screen that displays a prediction result.
In the example of FIG. 14, the display unit 15 displays a prediction graph 151, prediction information 152, and an approval menu 153. The prediction graph 151 is a graph representing the transition of the amount of power consumed within the set period in the target facility, which is predicted by the demand prediction device 1b. Specifically, the prediction graph 151 is the graph shown in FIGS. 5, 6, 8, and 9.

  The prediction information 152 is information regarding the predicted power consumption. In the example of FIG. 14, information for identifying the operation plan to be predicted, information indicating the date of the prediction, information on the setting period to be predicted, information on the amount of power that can be used within the setting period, up to the present The information on the amount of power consumed, the information on the power consumption predicted at the end date and time of the setting period, and the information on the power charge charged for the predicted power consumption are shown. Information other than the above may be displayed on the screen displaying the prediction result.

In the approval menu 153, a word prompting approval for the predicted operation plan, an approval button 153-1, and a non-approval button 153-2 are displayed. The approval button 153-1 is an input button for instructing to approve the operation plan and reflect the operation plan in the plant 8. The non-approval button 153-2 is an input button for instructing that the operation plan is not approved and the operation plan is not reflected in the plant 8.
The user of the demand prediction system 7 determines whether or not the operation plan on which the prediction is performed is appropriate based on the information of the prediction graph 151 and the prediction information 152. Then, by pressing the approval button 153-1 or the non-approval button 153-2, the judgment of the validity of the operation plan is input to the demand prediction system 7.

  In the demand prediction system 7 of the third embodiment configured as described above, the demand prediction device 1b has an input function for the user to input approval and non-approval for the operation plan for which the prediction is performed. Have. The demand prediction device 1b transmits plan information representing the approved operation plan to the target facility (plant 8). The target facility control device (plant control device 81) updates the operation plan of the target facility based on the acquired plan information. Therefore, the user of the demand prediction system 7 can change the operation plan of the target facility more easily.

Next, a modification of this embodiment will be described.
A method different from the embodiment may be used as a method for the demand prediction apparatuses 1, 1 a, and 1 b to predict the power consumption amount in the target facility. For example, the prediction curve 3 may be represented by a curve that is not a straight line. Further, the prediction curve 3 may be determined by pattern analysis using a power consumption tendency in the past setting period.
When the measurement information is not input, the demand prediction devices 1, 1a, and 1b may predict the power consumption based only on the plan information. For example, at the start date and time of the set period, there is no measurement information that is a source of prediction. In such a case, prediction based only on the plan information may be performed, or prediction based on the measurement information in the past setting period may be performed.
Each input part of the demand prediction apparatuses 1, 1a and 1b may be integrated into one input part.

  According to at least one embodiment described above, the demand prediction device 1 of the embodiment has a function of predicting the power consumption amount of the target facility based on the past power consumption amount and the future power consumption plan. As a result, the amount of power consumed during the set period can be predicted more accurately.

  Although several embodiments of the present invention have been described, these embodiments are presented by way of example and are not intended to limit the scope of the invention. These embodiments can be implemented in various other forms, and various omissions, replacements, and changes can be made without departing from the spirit of the invention. These embodiments and their modifications are included in the scope and gist of the invention, and are also included in the invention described in the claims and the equivalents thereof.

DESCRIPTION OF SYMBOLS 1, 1a, 1b ... Demand prediction apparatus, 11 ... Measurement information input part, 12 ... Plan information input part, 13, 13b ... Storage part, 131 ... Power consumption table, 132 ... Power consumption plan table, 133 ... Load change plan table , 14, 14b ... prediction unit, 15 ... display unit, 151 ... prediction graph, 152 ... prediction information, 153 ... approval menu, 153-1 ... approval button, 153-2 ... non-approval button, 16 ... communication unit, 2 ... Measured value group 3, 3 '... prediction curve, 4 ... actual curve, 5 ... planning curve, 6 ... external system, 7 ... demand prediction system, 8 ... plant, 81 ... plant controller, 82 ... network, 83 ... power Quantity measuring device, 84-1 to 3 ... electric equipment, 85 ... electric power system

Claims (3)

Prediction for predicting the amount of power consumed in the facility within a predetermined period based on measurement information representing the past power consumption in the facility to be predicted and plan information representing a plan for future power consumption in the facility With means,
Prediction device. An input unit for receiving an input of a user's operation for the prediction result of the prediction unit;
A transmission unit that transmits the plan information to a device that manages the facility according to an input operation;
Further comprising
The prediction device according to claim 1.   A computer program for causing a computer to function as the prediction device according to claim 1.

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