Many nations want to use only renewable energy by 2050. Given the recent rapid expansion
in RE use in the global energy mix and its progressive impact on the global energy sector …

Renewable energy sources (RES) are continuously gaining in importance, especially
because diversification of energy supply through RES ensures sustainability. However, the …

Given the high weather dependency of solar photovoltaic energy, accurate weather
information ranging from days to weeks in advance are required for stable plant operation …

In this study, an in-depth analysis is presented on forecasting aggregated wind power
production at the regional level, using advanced Machine-Learning (ML) techniques and …

Precisely forecasting output of solar photovoltaics is crucial for (i) effective solar power
management,(ii) integration into the electrical grid,(iii) flexible allocation of power resources …

A hybrid model combining self-attention temporal convolutional networks (SATCN) with
bidirectional long short-term memory (BiLSTM) networks was developed to improve the …

Photovoltaic (PV) power generation is significantly impacted by environmental factors that
exhibit substantial uncertainty and volatility, posing a critical challenge for accurate PV …

Research on photovoltaic systems (PV) power prediction contributes to optimizing
configurations, responding promptly to emergencies, reducing costs, and maintaining long …

La integración a gran escala de fuentes de energía renovables como la solar fotovoltaica en
la red eléctrica se ve dificultada por la incertidumbre asociada a su generación …