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Title: short term load forecasting using ann
Page Link: short term load forecasting using ann -
Posted By:
Created at: Friday 26th of April 2013 09:20:43 AM
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Title: short term load forecasting using ann matlab code
Page Link: short term load forecasting using ann matlab code -
Posted By:
Created at: Thursday 06th of December 2012 03:25:00 PM
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Title: short term internship for cse students in hyderabad
Page Link: short term internship for cse students in hyderabad -
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Created at: Tuesday 19th of March 2013 09:10:40 PM
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Title: INVENTORY MANAGEMENT OFFERED BY SRI DHANA LAKSHMI COTTON RICE MILL PVT LTD
Page Link: INVENTORY MANAGEMENT OFFERED BY SRI DHANA LAKSHMI COTTON RICE MILL PVT LTD -
Posted By: seminar class
Created at: Monday 09th of May 2011 07:20:26 PM
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PRESENTED BY
M. GOPALA KRISHNA


ABSTRACT
The ongoing economic reforms in the country have opened have new vistas by the encouragement being given Big industrial houses by motivating them to expand their market for the past protected economy. Medium scale industries by forcing them to face the competition from big industrial houses and others. Small-scale industries by relaxing all the government protection by way of grant etc.MNC’s (multinational companies) by providing opportunities to them by brining the e ....etc

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Title: short term load forecasting matlab code wiki
Page Link: short term load forecasting matlab code wiki -
Posted By:
Created at: Saturday 09th of April 2016 12:21:49 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 matlab code wiki
Page Link: short term load forecasting matlab code wiki -
Posted By:
Created at: Friday 13th of May 2016 09:33:30 PM
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Title: code short term load forecasting using ann matlab
Page Link: code short term load forecasting using ann matlab -
Posted By:
Created at: Saturday 03rd of June 2017 03:15:05 PM
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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: 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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