It is important for building owners and operators to manage the electrical energy
consumption of their buildings. As electrical energy is the major form of energy consumed in …

Load forecasting (LF), particularly short‐term load forecasting (STLF), plays a vital role
throughout the operation of the conventional power system. The precise modelling and …

Demand forecasting is an important task for retailers as it is required for various operational
decisions. One key challenge is to forecast demand on special days that are subject to vastly …

Existing short-term bus load forecasting methods mostly use temporal domain features, such
as historical loads, to forecast and do not fully consider the influence of unstructured spatial …

As the modern energy systems is becoming more complex and flexible, accurate load
forecasting has been the key to scheduling power to meet customers' needs, load switching …

Forecasting energy market volatility by artificial neural network has long been a focus of
economic research. Based on the discriminatory attitude to the historical price information, a …

Electric power systems are undergoing significant changes in all sectors at all voltage levels.
The growing penetration of Renewable Energy Resources (RES), the liberalization of …

Short-term load forecasting (STLF) plays an important role in the secure and reliable
operation of the electric power system. Grouping similar load profiles by a clustering …

Since their inception, convolutional neural networks (CNNs) have been shown to have
powerful feature extraction and learning capabilities, and the creation of deep residual …

Electricity consumption data is regarded as nonlinear, non-stationary series, and is often
made up by a superposition of several distinct frequencies. Thus most of the conventional …