Title : ( Electricity Price Forecasting Using a Clustering Approach )
Authors: Khatereh Sokhanvar , Ali Karimpour , Naser Pariz ,
Full TextAbstract
Abstract—This paper presents a new method to forecast the short term electricity price as a kind of time series. A clustering based forecasting method is introduced. The proposed method contains input-output decomposition and using a simple clustering approach to classify them and then for a new input (a specified number of past time series values), these clusters are sorted according to the probabilities calculated by using the Bayes\\\\\\\\\\\\\\\' formula. The prediction is then generated using the weighted average of the forecasted outputs of M clusters with highest probabilities.
Keywords
Bayes rule; Clustering; Time Series Forecasting
@inproceedings{paperid:1006873,
author = {Sokhanvar, Khatereh and Karimpour, Ali and Pariz, Naser},
title = {Electricity Price Forecasting Using a Clustering Approach},
booktitle = {2nd IEEE international conference on power and energy (PECon 08)},
year = {2008},
location = {Johor Bahru},
keywords = {Bayes rule; Clustering; Time Series Forecasting},
}
%0 Conference Proceedings
%T Electricity Price Forecasting Using a Clustering Approach
%A Sokhanvar, Khatereh
%A Karimpour, Ali
%A Pariz, Naser
%J 2nd IEEE international conference on power and energy (PECon 08)
%D 2008
