A new forecasting method for system marginal prices based on power supply and demand

• Published in: The Korean journal of chemical engineering Vol. 28; no. 7; pp. 1505 - 1510
• Main Authors: Lee, Kee Jun, Lee, Tae Hwan, Kim, Lae-Hyun, Yeo, Yeong Koo
• Format: Journal Article
• Language: English
• Published: Boston Springer US 01.07.2011; 한국화학공학회
• Subjects: Biotechnology; Catalysis; Chemistry; Chemistry and Materials Science; Industrial Chemistry/Chemical Engineering; Materials Science; 화학공학; Price Forecasting; Short-term Forecasting; System Marginal Price (SMP)
• ISSN: 0256-1115; 1975-7220
• DOI: 10.1007/s11814-011-0017-5

A new forecasting scheme is presented of short-term system marginal price (SMP) using past data on power supply and demand as well as past cost data. The forecasting of SMP is one of the most significant factors in an electricity market in which power is produced by generators, transmitted by transmission companies, and distributed by suppliers according to new trading agreements. The accurate forecasting of SMP can significantly influence the profit of market participants. In this paper, a new methodology for day-ahead SMP forecasting is proposed using the law of supply and demand on power. The salient feature of the proposed approach is that it exhibits excellent predicting performance in short-term forecasting.