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Toplam kayıt 26, listelenen: 1-10
Hourly Forecasting of Long Term Electric Energy Demand Using Novel Mathematical Models and Neural Networks
(Icic Int, 2011)
In this work, hourly forecasting of long term electric energy demand is achieved using mathematical models and Artificial Neural Network (ANN) approaches. Previous works regarding energy demand forecasting either treated ...
Next Day Load Forecasting Using Artificial Neural Network Models With Autoregression and Weighted Frequency Bin Blocks
(Icic International, 2009)
In this study, two different hybrid approaches based on Artificial Neural Network (ANN) models with Autoregressive (AR) method and Weighted Frequency Bin Blocks (WFBB), are used for next day load forecasting. To compare ...
A new approach for next day load forecasting integrating Artificial Neural Network model with Weighted Frequency Bin Blocks
(Springer-Verlag Berlin, 2008)
In this study, a new method is developed for the next day load forecasting integrating Artificial Neural Network(ANN) model with Weighted Frequency Bin Blocks (WFBB). After the WFBB is applied to all data, the results ...
Power Output Forecasting of a Solar House by Considering Different Cell Temperature Methods
(IEEE, 2017)
Forecasting of power generation is needed for accurate design and performance evaluation of solar energy systems to associate demand and source side dynamics efficiently. Since the power output values of solar energy systems ...
Comparative Solution of Unit Commitment Problem Using Three Different Methods
(Gazi University, Fac Engineering Architecture, 2009)
In this paper, unit commitment problem which is an important subject in power system optimization, is solved by using dynamic programming, Lagrange relaxation, and simulated annealing methods. Dynamic programming method ...
Parameters and power flow analysis of the 380-kV interconnected power system in Turkey
(IEEE, 2006)
This paper presents all the general overview of the interconnected power system in Turkey which consists of 30 generation and 35 load buses, totaling 65 buses connected each other with 380-kV power transmission lines. Also ...
Neural and mathematical modeling approaches for hourly long term loadforecasting
(2009)
In this work, a mathematical model and an Artificial Neural Network (ANN)approach are constructed for the hourly forecasting of long term electric energydemand. Unlike former studies, these methods produce long term load ...
Optimal power flow analysis of the 22-bus 380-kV interconnected power system in Turkey
(IEEE, 2006)
In this paper, the Newton based optimal power now analysis (OPF) implemented using MATLAB (R) is applied for the 22-bus interconnected power system in Turkey which consists of 8 generation and 14 load bus connected each ...
Unit commitment scheduling by using the neural network-weighted frequency bin blocks based next day load forecasting
(2008)
Unit commitment (UC) and load forecasting analyses are important because low-cost generation is one of the most significant points in power systems. Since UC solves for an optimum schedule of generating units based on load ...
Solar Electricity Potential Based on ArcGIS Maps and Consumption of Energy for Engineering Faculty Buildings in Anadolu University
(IEEE, 2017)
It is very significant to predict the solar energy potential correctly while solar panel applications arc being carried out. This study describes a model for prediction of solar energy potential and compares the prediction ...