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osu1323312608.pdf (4.15 MB)
ETD Abstract Container
Abstract Header
One-Step-Ahead Load Forecasting for Smart Grid Applications
Author Info
Vasudevan, Sneha
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=osu1323312608
Abstract Details
Year and Degree
2011, Master of Science, Ohio State University, Electrical and Computer Engineering.
Abstract
In the last couple of decades, various industries have either reduced or eliminated the power of the Government, creating more competition within the industry. In such a deregulated economy, load forecasting plays a very vital role in the planning and operation of electric utilities. Load forecasting finds in use in the sales, marketing, planning and manufacturing divisions of every industry. Literature review indicates the need to consider several factors such as time of a day, weather data and possible customer classes for effective one-step ahead and day ahead load forecasting on a feeder. This work focuses on analyzing the effects of temperature and humidity on different customer classes namely: Residential, Commercial and Industrial loads. Having analyzed their effects, a nominal load sequence from the weather sensitive load sequence was constructed. One-step-ahead and day ahead load forecasting of these sequences were then carried out using stochastic modeling.
Committee
Ali Keyhani, PhD (Advisor)
Mahesh Illindala, PhD (Committee Member)
Subject Headings
Electrical Engineering
Keywords
Load forecasting
;
stochastic modeling
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Citations
Vasudevan, S. (2011).
One-Step-Ahead Load Forecasting for Smart Grid Applications
[Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1323312608
APA Style (7th edition)
Vasudevan, Sneha.
One-Step-Ahead Load Forecasting for Smart Grid Applications.
2011. Ohio State University, Master's thesis.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=osu1323312608.
MLA Style (8th edition)
Vasudevan, Sneha. "One-Step-Ahead Load Forecasting for Smart Grid Applications." Master's thesis, Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1323312608
Chicago Manual of Style (17th edition)
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Document number:
osu1323312608
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2,665
Copyright Info
© 2011, some rights reserved.
One-Step-Ahead Load Forecasting for Smart Grid Applications by Sneha Vasudevan is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by The Ohio State University and OhioLINK.