An Optimised Hybrid Framework Based on Long-Short Term Memory Neural Networks and Fourier Synchrosqueesed Transform for Photovoltaic Power Forecasting

Author:

Rajah Samer,Rodríguez Gómez Alejandro,Muñoz Gutiérrez Francisco Jesús

Publisher

Elsevier BV

Reference42 articles.

1. Integrated MFFNN-MVO approach for PV solar power forecasting considering thermal effects and environmental conditions;M Talaat;International Journal of Electrical Power & Energy Systems,2022

2. Forecasting intra-hour photovoltaic energy by assembling wavelet based time-frequency analysis with deep learning neural networks;F Rodr�guez;International Journal of Electrical Power & Energy Systems,2022

3. A review on renewable energy and electricity requirement forecasting models for smart grid and buildings;T Ahmad;Sustain Cities Soc,2020

4. F�sica del caos en la predicci�n meteorol�gica;F�sica del caos en la predicci�n meteorol�gica,2018

5. Short-term solar radiation forecasting by advecting and diffusing MSG cloud index;C Arbizu-Barrena;Solar Energy,2017

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