Frontiers

Ultra-short-term load forecasting and risk assessment method for distribution networks based on the VMD–DeepAR model

With increasing uncertainties on both the generation and load sides in power systems, ultra-short-term load forecasting (USTLF) and risk assessment have become crucial for ensuring the secure and ...
Frontiers

An optimization planning method for rural distribution systems considering on-load tap changers and energy storage

Under the guidance of the “dual carbon” target, rural distribution systems are increasingly affected by power fluctuations and voltage violations owing to the growing penetration of distributed ...
IEEE

Multitask learning for enhanced short-term load forecasting in distribution networks under small sample conditions

Abstract: Numerous artificial neural network (ANN)-based short-term load forecasting (STLF) models have been developed to improve STLF accuracy. While these models generally require substantial ...
IEEE

Load optimization allocation method considering frequency security under deep peak regulation

Abstract: In order to solve the problem of safe and stable operation caused by deep peak regulation of thermal power, this paper proposes a load optimization distribution method that considers ...