A short-term prediction model to forecast power of photovoltaic based on MFA-Elman

Author:

Ma XinYu,Zhang XiaoHong

Publisher

Elsevier BV

Subject

General Energy

Reference25 articles.

1. The importance of distance between photovoltaic power stations for clear accuracy of short-term photovoltaic power forecasting;Abdelhakim;J Electr Comput Eng,2020

2. The 2020 photovoltaic technologiesroadmap;Gregory;J Phys D Appl Phys,2020

3. Multiscale LSTM-based deep learning for very-short-term photovoltaic power generation forecasting in smart city energy management;Dohyun;IEEE Syst J,2021

4. Short term prediction of photovoltaic power based on FCM and CG-DBN combination;Li;J Electr Eng Technol,2020

5. Photovoltaic power prediction using artificial neural networks and numerical weather data;López Gómez;Sustainability,2020

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