Nature

Mid-term power load forecasting using an ensemble deep learning model with BKA and CWGAN-GP enhancements

Electric load forecasting serves as a crucial decision-making foundation for the operation of power systems, offering important guidance for system scheduling optimization, cost reduction, and ...
Nature

A robust solution for power grid management using a hybrid deterministic and probabilistic model for short term load forecasting

Short-term load forecasting (STLF) is a fundamental problem in power system management and design and significantly impacts energy scheduling and planning. Accurate STLF results can guarantee the ...