This paper presents a literature review on the selected applications of renewable resource
and power forecasting models to facilitate the optimal integration of renewable energy (RE) …

Efficient and cost-effective coordination of online generation facilities is essential to the
reliable operation multi-area power system (PS) especially in a deregulated environment …

This paper provides an extensive review of learning-based short-term forecasting models for
smart grid applications. In addition to this, the paper also explores forecasting models …

IoT-based systems are complex and dynamic aggregations of entities (Smart Objects) which
usually lack decentralized control. Swarm Intelligence systems are decentralized, self …

Bacterial foraging optimization algorithm (BFO) is a biological-inspired swarm intelligence
optimization algorithm that simulates the foraging behavior of bacteria to obtain maximal …

As an important part of smart grid optimizations, optimal dispatch of microgrid is of great
significance to reduce energy consumption, environmental pollution and user's electricity …

This paper proposes a novel particle swarm optimization (PSO) algorithm with population
reduction, which is called modified new self-organizing hierarchical PSO with jum** time …

In this paper, the economic load dispatch (ELD) problem which is an important problem in
electrical engineering is tackled using a hybrid sine cosine algorithm (SCA) in a form of …

This article focuses on the implementation of a hybrid firefly algorithm-particle swarm
optimization (FAPSO) scheme for optimizing the parameters of an interval type-2 fractional …

The combined heat and power (CHP) generator not only generates electrical power but also
generates heat energy in a single process, which decreases the emission level significantly …