Convolutional neural networks a type of deep learning technology, are used for forecasting
future power usage. The mean absolute error, mean square error, root mean square error …

This paper investigates a novel distributed optimization scheme for the economic dispatch
problem of distributed generators (DGs) connected via directed communication links. The …

The paper presents a novel methodology based on a BARON solver in general algebraic
modeling system (GAMS) computational environment to solve the stochastic profit‐based …

The use of electric vehicles (EVs) has recently increased in a smart city environment. With
this, the optimal location of the charging station is a great challenge and, hence, the energy …

Microgrid, as a distributed power technology, has deep potential at present. This study
deeply researches microgrid and electric vehicles. A grid-connectedmicrogrid power …

The development of microgrid systems forces to integration of various distributed generators
(DG) and battery energy storage (BES) systems. The integration of a BES system in MG …

This research proposes a novel solution for the optimal day-ahead scheduling problem in
the GAMS environment using the BARON approach. The challenge is extended to include …

Photovoltaic power generation is a promising method for generating electricity with a wide
range of applications and development potential. It primarily utilizes solar energy and offers …

Sustainable microgrids (MGs) provide a decentralized and environmentally sustainable
solution to contemporary energy challenges, offering improved resilience and reduced …

In this paper, the renewable based microgrid (MG) has planned to meet the electric power
demand. The operating cost of distributed generator (DG) are mostly depend on their types …