Solar energy is the most important energy resource that has become an efficient solution to
the world's energy challenges. Accurate knowledge of global solar radiation and cell …

The main aim of the present study is to explore the relationship between numerous input
parameters and the solar photovoltaic (PV) power using machine learning (ML) models. Two …

A smart grid (SG) consists of an interconnection of an electrical grid, communication, and
information networks. The rapid developments of SG technologies have resulted in complex …

This paper focuses on the energy sharing management of a microgrid including photovoltaic-
wind turbine prosumers with energy storage systems, and plug-in electric vehicle charging …

In this study, artificial neural network (ANN) based models, which differently uses multiple
local meteorological measurements together such as wind speed, temperature and pressure …

Residential consumers can get the opportunity to render their energy usage responsive to
time-varying prices by participating in demand response (DR) programs through home …

Solar photovoltaic technology is spreading extremely rapidly and is becoming an aiding tool
in grid networks. The power of solar photovoltaics is not static all the time; it changes due to …

Wastewater treatment and low energy consumption are two important environmental issues.
In this work, a challenging treatment problem of leather industry wastewater is chosen as a …

In this study, efficiency analysis of the tracking solar photovoltaic (PV) system in Eskişehir
region is considered for onsite real solar power generation values. It is shown that the …

In this paper, the spatio-temporal (multi-channel) linear models, which use temporal and the
neighbouring wind speed measurements around the target location, for the best short-term …