The sparrow search algorithm (SSA) is an efficient swarm-intelligence-based algorithm that
has made some significant advances since its introduction in 2020. A detailed overview of …

With the recent emphasis on new energy sources, solar photovoltaic cells have received
widespread attention from scholars as a highly efficient and clean new energy source …

This study proposes a multi-objective sparrow search algorithm (MOSSA) based on a 2k
crowding-distance entropy and the optimal strategy of the positions to solve complex multi …

To ensure energy supply, China has developed methanol vehicles since the 1980s.
Although methanol vehicles are affordable and technologically mature, their life-cycle …

This paper aims to employ multi-agent-based energy management and optimization to
design a set of interconnected micro-grids with the ability to exchange electricity with the …

A flexible integrated energy system (IES) can curb the supply–demand imbalances caused
by renewable energy and load uncertainty. This study proposes an IES model based on a …

The accurate prediction of monthly runoff in the lower reaches of the Yellow River is crucial
for the rational utilization of regional water resources, optimal allocation, and flood …

This paper presents a new robust scheduling model for an islanded microgrid (MG)
considering demand response. The model is expressed as a min–max bilevel optimization …

A novel coupled model integrating Elman-AdaBoost with adaptive mutation sparrow search
algorithm (AM-SSA), called AMSSA-Elman-AdaBoost, is proposed for predicting the existing …

It is crucial for the photovoltaic system to have an accurate model and well‐estimated
parameters to further increase conversion efficiency. Most existing methods for identifying …