DocumentCode :
3092164
Title :
Time series methods for forecasting electricity market pricing
Author :
Obradovic, Zoran ; Tomsovic, Kevin
Author_Institution :
Sch. of Electr. Eng. & Comput. Sci., Washington State Univ., Pullman, WA, USA
Volume :
2
fYear :
1999
fDate :
1999
Firstpage :
1264
Abstract :
The objective of this work is to gain understanding of interactions between the predictability of electricity price under new market regulations and the engineering aspects of large scale electric power systems. There are numerous practical difficulties in allowing financial mechanisms to direct investments and operations for the generation and distribution of electricity. The electric commodity must be generated, distributed and consumed in real-time under strict physical laws and extremely high reliability requirements. This process is far more exacting and complex then the distribution of traditional commodities, such as oil or agricultural products. Clearly, assessing the effectiveness of deregulated markets is of extreme importance
Keywords :
costing; electricity supply industry; power system economics; tariffs; time series; deregulated electricity markets; electric commodity; electricity market pricing forecasting; electricity price predictability; financial mechanisms; large scale electric power systems; market regulations; reliability requirements; time series methods; Distributed power generation; Economic forecasting; Electricity supply industry; Investments; Large-scale systems; Power engineering and energy; Power generation; Power system reliability; Pricing; Reliability engineering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Engineering Society Summer Meeting, 1999. IEEE
Conference_Location :
Edmonton, Alta.
Print_ISBN :
0-7803-5569-5
Type :
conf
DOI :
10.1109/PESS.1999.787501
Filename :
787501
Link To Document :
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