The present electric power system is seeing a significant transition towards the adoption of
Smart Grids (SGs), which are viewed as a potential approach to improve grid stability and …

Short-term load forecasting (STLF) plays a crucial role in the planning, management, and
stability of a country's power system operation. In this study, we have developed a novel …

Accurate short-term load forecasting is important for the safe and effective functioning of
modern power systems. Seasonal-trend decomposition based on LOESS (STL) is an …

Accurate load forecasting plays a crucial role in the optimal scheduling of electric
vehicles'(EVs) coordinated charging. Although many load forecasting methods have …

In recent years, the reduction of high carbon emissions has become a paramount objective
for industries worldwide. In response, enterprises and industries are actively pursuing low …

This study addresses critical challenges in supply chain management, particularly focusing
on enhancing forecast accuracy and optimizing inventory management. Traditional methods …

Electricity load forecasting plays a crucial role in the management of electricity power grids,
enhancing operational efficiency, ensuring network reliability, facilitating infrastructure …

Accurate load forecasting is crucial for efficient power system management. Yet, it is
particularly challenging during critical days, such as weekends and holidays, due to limited …

In this study, the performance of five state-of-the-art sequence model architectures in load
forecasting is investigated: LSTMs, LSTM with attention, sequence-to-sequence …

This paper concentrates on the distributed secondary control of islanded microgrids (MGs),
with the objective of achieving frequency and voltage recovery, and active power sharing …