Grasshopper Optimization Algorithm (GOA) is a recent swarm intelligence algorithm inspired
by the foraging and swarming behavior of grasshoppers in nature. The GOA algorithm has …

Achieving the desired accuracy in time series forecasting has become a binding domain,
and developing a forecasting framework with a high degree of accuracy is one of the most …

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 …

Accurate load forecasting of district heating systems (DHSs) is an essential guide to
guaranteeing effective energy production, distribution, and rational utilization. Artificial …

This article focuses on the application of a latest nature-inspired metaheuristic optimization
algorithm named Grasshopper Optimization Algorithm (GOA) in the area of microgrid system …

Data driven building energy consumption forecasting models play a significant role in
enhancing the energy efficiency of the buildings through building energy management …

Accurate electrical load forecasting is of great significance to help power companies in
better scheduling and efficient management. Since high levels of uncertainties exist in the …

Wind power forecasting (WPF) plays an increasingly essential role in power system
operations. So far, most forecasting models have focused on a single-step-ahead WPF, and …

Off-grid electrification of remote communities using sustainable energy systems (SESs) is a
requisite for realizing sustainable development goals. Nonetheless, the capacity planning of …

This study proposed an improved grasshopper optimization algorithm (GOA) for continuous
optimization and applied it successfully to the financial stress prediction problem. GOA is a …