Drought monitoring and forecasting are essential for efficient water resources management.
The present research aims to provide a reliable prediction of the effective Reconnaissance …

Buildings play a critical role in energy consumption, representing one of the primary
consumers of power. Heating load (HL) and cooling load (CL) are essential for determining …

Accurate carbon price prediction can help save energy and reduce emissions worldwide.
Thus, this paper proposes a model that combines swarm intelligence algorithms with deep …

Floods occur frequently in Romania and throughout the world and are one of the most
devastating natural disasters that impact people's lives. Therefore, in order to reduce the …

Hydropower is a clean and efficient technology for producing renewable energy.
Assessment and forecasting of hydropower production are important for strategic decision …

Drops and screens are the commonest energy dissipator structures in irrigation networks
and erodible canals. This research investigates the efficiency of intelligence methods in …

Drought as a natural phenomenon has always been a serious threat to regions with hot and
dry climates. One of the major effects of drought is the drop in groundwater level. This paper …

Rainfall modeling is considered a need of the hour in order to understand, control, and
monitor the quality and quantity of water resources. Modeling rainfall is one of the key …

Reliable drought prediction plays a significant role in drought management. Applying
machine learning models in drought prediction is getting popular in recent years, but …

Forecasting flood events plays a significant part in water resources management and flood
control. In recent times, data-driven models with lower data requirements and a simple …