The vigorous expansion of renewable energy as a substitute for fossil energy is the
predominant route of action to achieve worldwide carbon neutrality. However, clean energy …

Nowadays, learning-based modeling methods are utilized to build a precise forecast model
for renewable power sources. Computational Intelligence (CI) techniques have been …

Non-traditional optimization tools have proved their potential in solving various types of
optimization problems. These problems deal with either single objective or multiple/many …

Manta Ray Foraging Optimization Algorithm (MRFO) is a new bio-inspired, meta-heuristic
algorithm. MRFO algorithm has been used for the first time to optimize a multi-objective …

Integrating renewable energy hybrid distributed generation (REHDG) into distribution
network systems (DNSs) has become increasingly important because of various technical …

Optimal siting and sizing of renewable sources in distribution system planning based on life
cycle cost and considering uncertai Page 1 AIMS Energy, 7(2): 211–226. DOI: 10.3934/energy.2019.2.211 …

RES based DGs have gained popularity due to depletion of fossil reserves, increase
demand (ie industrial growth, urbanization etc.). DG comprises of low generating capacity …

This paper proposes the Particle Swarm Optimization (PSO) to minimize the Hybrid
Renewable Energy System (HRES) Cost of Energy (COE) on different sizing between wind …

The increasing strain on the Earth resulting from pollution, climate change, and finite
resources has established the development of renewable energy sourcing methods, such as …

Algumas medidas adotadas para melhorar a performance de sistemas de distribuição são a
inserção de geração distribuída (GD) e bancos de capacitores (BC). Este trabalho …