The Sunshine Duration Error Rates were calculated with Gradient-Descent Algorithm and Genetic Algorithm for Use of Solar Energy
Journal Title: International Scientific and Vocational Studies Journal - Year 2017, Vol 1, Issue 1
Abstract
In this study, which is a source of renewable energy required to take advantage of solar energy to the maximum duration of sunshine was estimated. In the study, values were used of the city of Amasya. Artificial neural networks (ANN) backpropagation gradient-descent(GD) learn algorithm and genetic algorithm(GA) were used. Three hidden layer network model was designed with two inputs for ANN and GA. Between 2000 and 2010 values were used as input data monthly sunshine duration and humidity values. Output data was obtained monthly sunshine duration of 2010. The values obtained were compared with the actual values and the root mean square error (RMSE) was calculated. Result of the study, GA was used to calculate the values that are needed for solar energy.
Authors and Affiliations
Yalçın KAPLAN
Keywords
Related Articles
- EP ID EP35717
- DOI -
- Views 373
- Downloads 0
Solar Cell Usage in a House in Erdemli District of Mersin for Meeting Electricity Demand and Cost Analysis
Energy is the one of the basic needs in order to survive since human existence. The vast majority of this energy is derived from fosil fuels. The increase in energy demand, the limited resources, and harmful effect of di...
An Exploration of Student Misconceptions in Electrical and Electronics Engineering Department
In this study, the common misconceptions are identified and regarding solutions are offered for Electrical and Electronics Engineering students. From the standpoint of knowledge, most important substructure of education...
Microstructural Evaluation of Cement Mortars with Blast Furnace Slag Exposed to Sulfate Attack
Sulfate is a major chemical threat to concrete and reinforced concrete structures. In this study, a micro-structural analysis of the effects of sulfate on cement mortars with blast furnace slag substitution was conducte...
Performance Analysis of Storage, Grid Connected Hybrid Photovoltaic System
Photovoltaic solar energy plants are rapidly increasing. These systems are generally on-grid or off-grid photovoltaic systems. In this study, a hybrid system is realized and analyzed. This system contains feature of on-g...
Thermal Stress Control in Functionally Graded Plates with Artificial Neural Network
In this study, trained models were obtained by using Artificial Neural Network (ANN) in order to determine the equivalent stress levels of one dimensional functionally graded rectangular plates. In this training set, a...