The growing success of smart grids (SGs) is driving increased interest in load forecasting
(LF) as accurate predictions of energy demand are crucial for ensuring the reliability …

Originally a part of the study of physics, quantum mechanics is fast becoming an
interdisciplinary field. Quantum computing offers the potential to reach the higher levels of …

Accurate electric load forecasting is critical in guaranteeing the efficiency of the load
dispatch and supply by a power system, which prevents the wasting of electricity and …

This paper develops a novel short-term load forecasting model that hybridizes several
machine learning methods, such as support vector regression (SVR), grey catastrophe (GC …

The exponential growth in the number of flash flood events is a global threat, and detecting a
flood-prone area has also become a top priority. The flash flood-susceptibility mapping can …

Rapid and accurate detection of time-delayed water quality indicators (WQIs) is the key to
achieving fast feedback regulation of wastewater treatment plants (WWTPs) that enables its …

Accurate building energy consumption forecasting is crucial for developing efficient building
energy management systems, improving energy efficiency, and local building energy …

Electricity is an important indicator for economic development, especially electricity
production (EP), which is electricity industry managers making strategic decisions. There are …

To improve the performance of the energy storage system of electric vehicles, a complete
ensemble empirical mode decomposition-fuzzy logic control energy management strategy is …

The environment and development are major issues of general concern. After much
suffering from the harm of environmental pollution, human beings began to pay attention to …