Ma et al., 2024 - Google Patents
Ultra-short Term Solar Irradiance Prediction Considering Satellite Cloud ImagesMa et al., 2024
- Document ID
- 17278309597407346262
- Author
- Ma W
- Wu J
- Yan P
- Publication year
- Publication venue
- 2024 7th International Conference on Energy, Electrical and Power Engineering (CEEPE)
External Links
Snippet
With the growing adoption of solar photovoltaic (PV) power generation within the power system, ensuring the economical operation of the smart grid requires accurate prediction of PV power generation. Precisely estimating solar irradiance is critical for accurate prediction …
- 238000000034 method 0 abstract description 21
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
- Y02E10/52—PV systems with concentrators
-
- 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
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Wang et al. | A minutely solar irradiance forecasting method based on real-time sky image-irradiance mapping model | |
| Yang et al. | Classification and summarization of solar irradiance and power forecasting methods: A thorough review | |
| Sivaneasan et al. | Solar forecasting using ANN with fuzzy logic pre-processing | |
| Agoua et al. | Short-term spatio-temporal forecasting of photovoltaic power production | |
| Bai et al. | Hybrid model based on K-means++ algorithm, optimal similar day approach, and long short-term memory neural network for short-term photovoltaic power prediction | |
| Rosiek et al. | Online 3-h forecasting of the power output from a BIPV system using satellite observations and ANN | |
| Parvez et al. | Multi-layer perceptron based photovoltaic forecasting for rooftop pv applications in smart grid | |
| CN109934423A (en) | Predicting power of photovoltaic plant method and system based on gird-connected inverter operation data | |
| Zheng et al. | Very short-term maximum Lyapunov exponent forecasting tool for distributed photovoltaic output | |
| Moreno et al. | A day-ahead irradiance forecasting strategy for the integration of photovoltaic systems in virtual power plants | |
| Yao et al. | Very short-term forecasting of distributed PV power using GSTANN | |
| Manandhar et al. | Short-term solar radiation forecast using total sky imager via transfer learning | |
| Kassem et al. | Prediction of solar irradiation in Africa using linear-nonlinear hybrid models | |
| CN118970891A (en) | A method and device for accurately predicting photovoltaic output at the substation level based on subdivided grids | |
| Ma et al. | Ultra-short Term Solar Irradiance Prediction Considering Satellite Cloud Images | |
| Stoliarov | Efficient electricity generation forecasting from solar power plants using technology: Integration, benefits and prospects | |
| Muniyandi et al. | Feature selection-based irradiance forecast for efficient operation of a stand-alone PV system | |
| Sow et al. | Towards deep learning methods to improve photovoltaic prediction and building decarbonization in benchmarking study | |
| Nkurıyıngoma et al. | Solar power plant generation forecasting using NARX neural network model: A case study | |
| Wang et al. | Neural network based irradiance mapping model of solar pv power forecasting using sky image | |
| Cheung et al. | Ensemble solar forecasting statistical quantification and sensitivity analysis | |
| Al-Jaafreh et al. | The Application of Deep Learning Techniques for Solar Power Forecasting | |
| Rosso et al. | Experimental development of a method of short and medium-term photovoltaic generation forecasting using multivariate statistics and mathematical modeling | |
| Schubnel et al. | Solarcrossformer: Improving day-ahead solar irradiance forecasting by integrating satellite imagery and ground sensors | |
| Arshad et al. | A minimal neural network model to predict power loss due to soiling in stable environments |