在“双碳” 目标的驱动下, 构建以新能源为主体的新型电力系统是促进现代电力系统低碳转型发展
的重要前提与必然趋势. 由于复杂易变的多元负荷是新型电力系统的重要组成部分 …

Short-term electric load forecasting is essential for the operation of power systems and the
power market, including economic dispatch, unit commitment, peak load shaving, load …

Day-ahead load forecasting plays a crucial role in operation and management of power
systems. Weather conditions have a significant impact on daily load profile, hence, it follows …

Forecasting future electricity consumption is one of the critical processes for addressing
energy management and supply–demand balance in modern electrical systems. In this …

This article proposes a hybrid method (HM) to improve the accuracy of short-term individual
residential load forecasting. The HM includes an ensemble model (EM), deep ensemble …

Rapidly varying load demand is one of the greatest problems that distribution system
operators are now experiencing. Many researchers have been implemented the load …

Short-term load forecasting (STLF) is challenging due to complex time series (TS) which
express three seasonal patterns and a nonlinear trend. This article proposes a novel hybrid …

Household load forecasting plays an important role in future grid planning and operation.
However, compared with aggregated load forecasting, household load forecasting faces the …

This paper presents a short-term electric load forecasting model based on deep
autoencoder with localized stochastic sensitivity (D-LiSSA). D-LiSSA can learn informative …

Accurate forecasting of power load is essential for effective power system scheduling. This
paper presents a short-term load forecasting method utilizing the neural network architecture …