Document Type
Closed Project
Publication Date
Spring 2017
Instructor
Sule Balkan & Tim Anderson
Course Title
Energy Demand Forecasting
Course Number
ETM 510
Abstract
Over the time, the electricity industry has become the most important factor impacting the development of socioeconomic status worldwide. Accurate demand forecasting decreases the operating cost of utility companies, especially in a market environment [1]. Electricity demand forecasting is a useful policy tool for decisionmakers; thus, it is valuable in allowing both power generators and consumers to make their plans. Accurate forecasting of electricity demand is not only valuable for power generators, allowing them to schedule operation of their power stations to match generation capacity with demand, but is also a fundamental piece of information used for trading in the energy market [2]. Consequently, electricity systems can be optimized by developing a scheduling algorithm for electricity demand. Because energy demand has increased in the last decade in several (not all) energy sectors worldwide, we must pay more attention to improvement of electricity demand forecasting.
Rights
In Copyright. URI: http://rightsstatements.org/vocab/InC/1.0/ This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
Persistent Identifier
http://archives.pdx.edu/ds/psu/21459
Citation Details
Reyes, Adrian, "Journey through Energy Demand Forecasting using ARIMA model" (2017). Engineering and Technology Management Student Projects. 104.
http://archives.pdx.edu/ds/psu/21459
Comments
This project is only available to students, staff, and faculty of Portland State University