One-hour ahead electric load and wind-solar power generation forecasting using artificial neural network
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/7104953/7110853/07110894.pdf?arnumber=7110894
Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Data Driven Approach for Long Term Forecasting of Renewable Energy Generation;2022 4th Global Power, Energy and Communication Conference (GPECOM);2022-06-14
2. The use of artificial neural networks and big data infrastructure for predictive analytics in solar energy;Proceedings of the International Conference on Business Excellence;2021-12-01
3. Short-Term Solar and Wind Generation Forecasting for the Western Region of India;2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC);2021-11-21
4. Combined General Vector Machine for Single Point Electricity Load Forecast;Lecture Notes in Electrical Engineering;2020
5. GVM Based Copy-Dynamics Model for Electricity Load Forecast;Lecture Notes in Electrical Engineering;2019
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