In theory, building automation and management systems (BAMSs) can provide all the
components and functionalities required for analyzing and operating buildings. However, in …

This study introduces an energy management method that smooths electricity consumption
and shaves peaks by scheduling the operating hours of water pumping stations in a smart …

Rock bursts pose a significant risk to coal mine operation safety. Thus, accurately
discriminating coal bursting liabilities is crucial for predicting and preventing rock burst …

Short-term forecasting of residential and commercial building energy consumption is widely
used in power systems and continues to grow in importance. Data-driven short-term load …

Recently, a growing amount of time series data has been collected in cloud data centers,
making anomaly detection for multivariate time series analysis increasingly necessary …

The growth of urban areas and the management of energy resources highlight the need for
precise short-term load forecasting (STLF) in energy management systems to improve …

Accurate net load forecasting contributes to increasing the integration of renewable energy
sources and reducing the operating cost of the power grid. In recent years, deep learning …

Smart Metering (SM) systems allow frequent and accurate consumption readings that can be
the source of multiple applications, generating new business in the future. However, it …

Accurate short-term load forecasting is of great significance to the efficient operation of
power grids. Nowadays, graph neural network (GNN) is widely used to capture the implicit …

An efficient energy operation strategy for the smart grid requires accurate day-ahead
electricity load forecasts with high time resolutions, such as 15 or 30 min. Most high-time …