Renewable energy resources can be deployed locally and efficiently using the concept of
microgrids. Due to the natural uncertainty of the output power of renewable energy …

In recent years, researchers have focused on improving the efficiency of photovoltaic
systems, as they have an extremely low efficiency compared to fossil fuels. An obvious issue …

Currently, artificial intelligence (AI) is emerging as a dominant force in various technologies,
owing to its unparalleled efficiency. Among the plethora of AI techniques available, neural …

In this study, we present the EEG-GCN, a novel hybrid model for the prediction of time series
data, adept at addressing the inherent challenges posed by the data's complex, non-linear …

The methods of artificial intelligence (AI) have been used in the planning and operation of
electric power systems for more than 40 years. In recent years, due to the development of …

Wind power has unpredictable, intermittent traits due to meteorological conditions and
environmental factors. Large-scale grid integration of wind energy will undoubtedly …

Formulating a scientifically sound and efficient approach to allocating carbon quota aligned
with the carbon peaking goal is a fundamental theoretical and practical challenge within the …

In modern power systems with an increasing proportion of renewable energy sources, long-
term wind speed forecasts are essential for grid scheduling due to the volatility of wind …

In recent years, researchers have focused on improving the efficiency of photovoltaic
systems, as they have an extremely low efficiency compared to fossil fuels. An obvious issue …