Energy price forecasting - problems and proposals for such predictions
- 27 February 2006
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Power and Energy Magazine
- Vol. 4 (2), 20-29
- https://doi.org/10.1109/mpae.2006.1597990
Abstract
This paper discusses the value of price forecasting in the electricity market during bidding or hedging against volatility. When bidding in a pool system, the market participants are requested to express their bids in terms of prices and quantities. Since the bids are accepted in order of increasing price until the total demand is met, a company that is able to forecast the pool price can adjust its own price/production schedule depending on hourly pool prices and its own production costs. This paper also discusses the challenges of price forecasting and describes some of the proposed methods for meeting these challenges.Keywords
This publication has 8 references indexed in Scilit:
- Neural Network-Based Market Clearing Price Prediction and Confidence Interval Estimation With an Improved Extended Kalman Filter MethodIEEE Transactions on Power Systems, 2005
- Modeling and Forecasting Electricity Prices with Input/Output Hidden Markov ModelsIEEE Transactions on Power Systems, 2005
- Improving Market Clearing Price Prediction by Using a Committee Machine of Neural NetworksIEEE Transactions on Power Systems, 2004
- Short-Term Electricity Market Auction Game Analysis: Uniform and Pay-as-Bid PricingIEEE Transactions on Power Systems, 2004
- ARIMA models to predict next-day electricity pricesIEEE Transactions on Power Systems, 2003
- Power engineering lab: electricity market simulatorIEEE Transactions on Power Systems, 2002
- Forecasting next-day electricity prices by time series modelsIEEE Transactions on Power Systems, 2002
- Market Operations in Electric Power SystemsPublished by Wiley ,2002