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Hourly Solar Irradiation Prediction by Artificial Neural Network Based on Similarity Analysis of Time Series
(IEEE, 2018)
Solar energy is a renewable energy source which has intermittent and variable characteristic. Solar irradiation must be predicted in advance in an electrical grid which has solar energy based electrical power generation ...
Design of a MATLAB GUI for Day Ahead Forecasting of PV Panel Power
(IEEE, 2019)
This paper introduces design and utilization of a MATLAB graphical user interface (GUI) platform to forecast day ahead hourly Photovoltaic (PV) panel power by using forecasted day ahead global horizontal solar radiation. ...
Solar Energy Potential of Eastern Black Sea Region of Turkey: A Case Study for Trabzon Province
(IEEE, 2016)
In electricity generation, there is a tendency towards renewable energy sources in order to supply the increased electricity demand and in an effort to generate electricity with less environmental damages. The Sun is a ...
Scheduling of Domestic Shiftable Loads via Cuckoo Search Optimization Algorithm
(IEEE, 2016)
Electrical power systems have been developed to more advanced structures called as smart grids. Among many other issues, demand side management (DSM) is one of the important instruments of the smart grids. DSM techniques ...
The Effect of Integration Types on FLC Based MPPT Systems
(IEEE, 2013)
Operating the photovoltaic (PV) array at its maximum power available is important to increase system efficiency. In order to operate PV systems at their maximum power point, many maximum power point tracking (MPPT) methods ...
A Day Ahead Hourly Solar Radiation Forecasting by Artificial Neural Networks: A Case Study for Trabzon Province
(IEEE, 2017)
The integration of renewable energy sources to the electrical grid leads to some issues in the grid because of intermittent and variable characteristics of renewable energy sources such as wind and solar. It has been ...