Power generation scenario modelling has become an integral part of long-term planning in
power system due to high penetration of variable renewable energy. It requires accurate …

Electricity price forecasting in wholesale markets is an essential asset for deciding bidding
strategies and operational schedules. The decision making process is limited if no …

Forecasting river flow is crucial for optimal planning, management, and sustainability using
freshwater resources. Many machine learning (ML) approaches have been enhanced to …

Flood is a natural disaster that can cause damage in human life, infrastructure, and
socioeconomics. Forecasting the flood is essential to provide sustainable flood risk …

High-quality data play a paramount role in monitoring, control, and prediction of wastewater
treatment process (WWTP) and can effectively ensure the efficient and stable operation of …

Accurate streamflow prediction is of great significance for water resource management. In
recent years, data-driven models such as artificial neural networks (ANNs) and support …

This work proposes a method to evaluate the performance of water supply systems under
climate change with reservoir efficiency indexes. The method projects rainfall and surface air …