This paper presents a comprehensive review of machine learning (ML) based approaches, especially artificial neural networks (ANNs) in time series data prediction problems. According to literature, around 80% the world’s total energy demand is supplied either through fuel-based sources such as oil, gas, and coal or nuclear-based sources. Literature also shows that shortage fossil fuels inevitabl...

At present scenario, renewable energy sources are needed to meet the energy demand. They also mitigate environment pollution problems. The shortage of electrical energy demand can be meeting with renewable energy resources. A wind turbine (WT) and photovoltaic (PV) solar panels are primary energy sources. Grid connected renewable energy source like wind energy and solar energy are used to conne...

As climate concerns, low natural gas prices, and renewable technologies increase the electric power sector’s dependence on natural gas-fired power plants, operational and investment models for gas and electric power systems will need to incorporate the interdependencies between these two systems to accurately capture the impacts of one on the other. Currently, few hybrid gas-electricity models ...

The coming intersection between a growing electrified vehicle fleet and desired growth in renewable electricity generation presents an opportunity for synergistic value. Some types of renewable electricity generation are variable and intermittent and are rarely coincident with utility load patterns. Vehicles are typically parked 90% of the time, and the batteries are a significant capital inves...

Using hybrid renewable energy is one of the best alternatives to supply the electrical energy at remote areas. Renewable energy sources are depended to weather conditions or other factors, so for supplying load with renewable sources appropriate capacity of these sources should be selected. In determining the capacity of renewable energy such as wind and solar, considering the stochastic nature...

Economic and geopolitical limitation on global non-renewable energy supplies will force many nations, especially the developing countries, to accelerate their use of local renewable energy sources. The study reveals the research referring to the optimal configuration and Intelligent Control of Hybrid System. The system uses Renewable Energy i.e. Photovoltaic Cells, Biomass, Wind Energy, Small H...

Received Feb 3, 2017 Revised Mar 18, 2017 Accepted May 5, 2017 Dual input dc-dc converters have two input voltage sources or one input source and an energy storage system like ultra capacitor, PV, battery, super capacitors and a single output load. In order to process the power in hybrid energy systems using reduced part count, researchers have proposed several multi-input dc-dc power converter...

This paper focuses on the indirect adaptive tracking control of renewable energy sources in a grid-connected hybrid power system. The renewable energy systems have low efficiency and intermittent nature due to unpredictable meteorological conditions. The domestic load and the conventional charging stations behave in an uncertain manner. To operate the renewable energy sources efficiently for ha...