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Parvez et al., 2020 - Google Patents

Multi-layer perceptron based photovoltaic forecasting for rooftop pv applications in smart grid

Parvez et al., 2020

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Document ID
13808959624692403542
Author
Parvez I
Sarwat A
Debnath A
Olowu T
Dastgir M
Riggs H
Publication year
Publication venue
2020 SoutheastCon

External Links

Snippet

In the smart grid, a consumer can choose either to expend energy from the grid or vend energy back to the grid. On this principle, for profit maximization based on the current day's electricity selling price, a smart home with a rooftop photo voltaic (PV) system can determine …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GASES [GHG] EMISSION, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00—Energy generation through renewable energy sources
    • Y02E10/50—Photovoltaic [PV] energy
    • Y02E10/56—Power conversion electric or electronic aspects
    • Y02E10/563—Power conversion electric or electronic aspects for grid-connected applications
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computer systems based on biological models
    • G06N3/02—Computer systems based on biological models using neural network models
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00—Subject matter not provided for in other groups of this subclass
    • G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run

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