Significant wave height is an average of the largest ocean waves, which are important for
renewable and sustainable energy resource generation. A large significant wave height can …

In recent years, various heuristic optimization methods have been developed. Many of these
methods are inspired by swarm behaviors in nature. In this paper, a new optimization …

Solar energy is an alternative renewable energy resource that has the potential of cleanly
addressing the increasing demand for electricity in the modern era to overcome future …

Accurate prediction of rainfall is a complex problem because of the large number of
controlling factors, complex interrelationships between them and the multiscaling behaviour …

Forecasting of solar radiation (Radn) can provide an insight vision for the amount of green
and friendly energy sources. Owing to the non-linearity and non-stationarity challenges …

Ant colony optimization (ACO) algorithm is a meta-heuristic and reinforcement learning
algorithm, which has been widely applied to solve various optimization problems. The key to …

New and improved drought models based on the World Meteorological Organization
approved Standardized Precipitation Index, principally at multiple timescale horizons, are …

Evapotranspiration is one of agricultural water management's most significant and impactful
hydrologic processes. A new multi-decomposition deep learning-based technique is …

Reference evapotranspiration can cause huge discrepancies in soil moisture and runoff
which is responsible for uncertainties in drought warning systems. Reference …

This study presents an optimization model for a bus network design based on the coarse‐
grain parallel ant colony algorithm (CPACA). It aims to maximize the number of direct …