Artificial Neural Network based Load Forecasting Approach-seminar report in pdf - EXAMS FREAK : Btech Books Download pdf
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Artificial Neural Network based Load Forecasting Approach-seminar report in pdf

Artificial Neural Network based Load Forecasting Approach-seminar report in pdf, ann based load forecasting seminar report pdf download, load forecasting seminar report pdf download, load forecasting report pdf download

ANN based Load Forecasting Approach report in PDF

CONTENTS PAGE NO. ACKNOWLEDGEMENT 2 CHAPTER-1: INTRODUCTION 4 CHAPTER-2: LOAD FORECASTING 7 CHAPTER-3: MACHINE LEARNING 11 CHAPTER-4: NEURAL NETWORK 13 CHAPTER-5: CONCLUSION AND FUTURE WORK 31 REFERENCES 32

CHAPTER-1: INTRODUCTION LOAD FORECASTING: Load forecasting is a technique used by power or energy-providing companies to predict the power/energy needed to meet the demand and supply equilibrium. The accuracy of forecasting is of great significance for the operational and managerial loading of a utility company.
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Most forecasting methods use numerical techniques or AI algorithms such as recession, neural networks and indistinct logic. Load forecasting can be short-term (a few hours), medium-term (a few weeks up to a year) or long-term (over a year). 
The end-use and econometric approach is used for medium- and long-term forecasting, whereas the similar-day 
approach, various regression models, time series, neural networks, statistical learning algorithms and fuzzy logic have been devised for short-term forecasting.





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