Volume 9, Number 3 (September 2013)                   IJEEE 2013, 9(3): 150-157 | Back to browse issues page

XML Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Haji Abadi M E, Rajabi Mashhadi H. Modeling of the Maximum Entropy Problem as an Optimal Control Problem and its Application to Pdf Estimation of Electricity Price. IJEEE. 2013; 9 (3) :150-157
URL: http://ijeee.iust.ac.ir/article-1-510-en.html

Abstract:   (2225 Views)
In this paper, the continuous optimal control theory is used to model and solve the maximum entropy problem for a continuous random variable. The maximum entropy principle provides a method to obtain least-biased probability density function (Pdf) estimation. In this paper, to find a closed form solution for the maximum entropy problem with any number of moment constraints, the entropy is considered as a functional measure and the moment constraints are considered as the state equations. Therefore, the Pdf estimation problem can be reformulated as the optimal control problem. Finally, the proposed method is applied to estimate the Pdf of the hourly electricity prices of New England and Ontario electricity markets. Obtained results show the efficiency of the proposed method.
Full-Text [PDF 274 kb]   (1241 Downloads)    
Type of Study: Research Paper | Subject: Market Deregulation
Received: 2012/06/20 | Accepted: 2013/07/22 | Published: 2013/07/22

Add your comments about this article : Your username or email:
Write the security code in the box

© 2015 All Rights Reserved | Iranian Journal of Electrical and Electronic Engineering

Designed & Developed by : Yektaweb