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 …

Due to increasing amounts of energy being supplied by intermittent renewable energy
sources, future energy systems need to be able to react flexibly to sudden changes. To …

Multi-energy supply system is under development with a variety of benefits for microgrid
operation. In this paper, the coordinated scheduling and optimal operation strategy of …

The current era in sustainable development is focused on the rapid integration of renewable
energy sources driven by a wide range of socio‐economic objectives. Due to the inherent …

This paper proposes a combined model of Multi-Objective Dynamic Economic and Emission
Dispatch (MODEED) with Demand Side Management (DSM) to investigate the benefits of …

This paper proposes an energy management system (EMS) for the day-ahead dispatch of
battery storage systems (BSS) under a distributed generation environment for direct current …

A mathematical optimization approach for the optimal operation focused on the economic
dispatch for dc microgrid with high penetration of distributed generators and energy storage …

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 …

Abstract Renewable Energy Sources (RESs) have many benefits especially when integrated
in micro-grids. In this paper, the particle swarm optimization (PSO) algorithm is modified for …

The challenge of a modern energy system is to be reliable, robust, easily accessible,
economically viable, and environment-friendly. This paper addresses the above issue by …