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Long-Term Electric Load Demand Forecasting and Modeling: Analysis of Electric Load Growth in Shiraz Power Distribution Network - Couverture souple

Sedaghati, Reza; Rajabi, Alireza

 
9783659594380: Long-Term Electric Load Demand Forecasting and Modeling: Analysis of Electric Load Growth in Shiraz Power Distribution Network

Synopsis

The major concern for every electrical utility is the ability to provide reliable and uninterrupted service to their customers. Load forecasting is an important component for power system energy management system. Precise load forecasting helps the electric utility to make unit commitment decisions, reduce spinning reserve capacity and schedule device maintenance plan properly. Besides playing a key role in reducing the generation cost, it is also essential to the reliability of power systems. There are three types of load forecasts: short-term, medium-term and long-term. This book focuses on study of short term load forecasting. Long-term demand forecasting presents the first step in planning and developing future generation, transmission and distribution facilities. In this book study of a real sample (Shiraz power distribution network) for forecasting load growth is done, also evaluated various compensation methods from perspectives of long-term load forecasting.

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Présentation de l'éditeur

The major concern for every electrical utility is the ability to provide reliable and uninterrupted service to their customers. Load forecasting is an important component for power system energy management system. Precise load forecasting helps the electric utility to make unit commitment decisions, reduce spinning reserve capacity and schedule device maintenance plan properly. Besides playing a key role in reducing the generation cost, it is also essential to the reliability of power systems. There are three types of load forecasts: short-term, medium-term and long-term. This book focuses on study of short term load forecasting. Long-term demand forecasting presents the first step in planning and developing future generation, transmission and distribution facilities. In this book study of a real sample (Shiraz power distribution network) for forecasting load growth is done, also evaluated various compensation methods from perspectives of long-term load forecasting.

Biographie de l'auteur

Reza Sedaghati received his M.Sc. degree in Electrical Engineering in 2009. His research activities are focused on the renewable energies. Co-Author, Alireza Rajabi obtained his B.Sc. in Electrical Engineering in 2013. His activity is in power system dynamic. Both of authors are with Department of Electrical Engineering, Beyza Branch, Fars, Iran.

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