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Title: FORECASTING DAILY PEAK LOAD OF GHANA USING RADIAL BASIS FUNCTION NEURAL NETWORK AND W
Page Link: FORECASTING DAILY PEAK LOAD OF GHANA USING RADIAL BASIS FUNCTION NEURAL NETWORK AND W -
Posted By: seminar presentation
Created at: Tuesday 18th of May 2010 11:55:21 PM
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Authors:
Emmanuel Asuming Frimpong
Philip Yaw Okyere

Abstract:
Load forecasting helps electricity utilities make important decisions such as purchasing and generating electric power, load switching and infrastructure development. Energy suppliers, financial institutions and other participants in electric energy generation, transmission, distribution and markets benefit from load forecasts. This paper proposes the combination of wavelet analysis and radial basis function (RBF) neural network as tools for STLF. The forecasting model ....etc

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Title: SHORT TERM LOAD FORECASTING USING ARTIFICIAL NEURAL NETWORKS AND FUZZY LOGIC
Page Link: SHORT TERM LOAD FORECASTING USING ARTIFICIAL NEURAL NETWORKS AND FUZZY LOGIC -
Posted By: seminar class
Created at: Monday 11th of April 2011 01:37:27 PM
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ABSTRACT:
This project presents the approach to the short term load forecasting using Artificial Neural Network (ANN) and Fuzzy Logic. Artificial Neural Networks (AAN) have recently been receiving considerable attention and a large number of publications concerning ANN-based short-term load forecasting (STLF) have appeared in the literature. Along with this Fuzzy Logic , also a part of Artificial Intelligence, is known to result in accurate predictions. In this paper, a model using Fuzzy Logic with the help of an ANN ....etc

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Title: short term load forecasting using ann
Page Link: short term load forecasting using ann -
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Created at: Friday 26th of April 2013 09:20:43 AM
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Title: AN EXPERT SYSTEM BASED ALGORITHM FOR SHORT TERM LOAD FORECAST
Page Link: AN EXPERT SYSTEM BASED ALGORITHM FOR SHORT TERM LOAD FORECAST -
Posted By: seminar surveyer
Created at: Thursday 14th of October 2010 01:44:01 PM
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Prepared by:
Saifur Rahman
Rahul Bhatnagar


Abstract

This paper reviews some of the existing studies on one-to-twenty four hour load forecasting algorithms, and presents an expert system based algorithm as an alternative. The logical and syntactical relationships between weather and load, and the prevailing daily load shapes have been examined to develop the rules for this approach. Two separate, but similar, algorithms have been developed to provide one-to-six hour and 24 hour ahead forecasts. These forecasts have bee ....etc

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Title: code short term load forecasting using ann matlab
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Created at: Saturday 03rd of June 2017 03:15:05 PM
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Title: short term load forecasting matlab code wiki
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Title: short term load forecasting matlab code wiki
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Created at: Friday 13th of May 2016 09:33:30 PM
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Title: Short-term aging characterization of asphalt binders using gel permeation chromatogra
Page Link: Short-term aging characterization of asphalt binders using gel permeation chromatogra -
Posted By: smart paper boy
Created at: Monday 18th of July 2011 01:45:39 PM
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Abstract
Both the rolling thin film oven test (RTFOT) and the short-term oven aging (STOA) methods are used in the laboratory to represent
the aging of an asphalt binder during plant mixing, transportation and paving. The RTFOT is conducted at 163 C for 85 min, and the
recommended STOA methods are to heat the loose mix in a forced draft oven either at 135 C for 4 h or at 154 C for 2 h dependent on
the asphalt binder’s stiffness. The actual time of short-term aging in the field varies depending on hauling dist ....etc

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Title: short term load forecasting using ann matlab code
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Created at: Thursday 06th of December 2012 03:25:00 PM
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