A Novel Hybrid Technique for Short-Term Electricity Price Forecasting in UK Electricity Markets
Authors:
- Linlin HuLHLinlin Hu
- Gareth TaylorGTGareth Taylor
- 1 April 2014
- journal article
- Published by Taylor & Francis in Journal of International Council on Electrical Engineering
- Vol. 4 (2) , 114-120
Abstract
No abstract availableKeywords
This publication has 9 references indexed in Scilit:
- A fuzzy-logic based bidding strategy for participants in the UK electricity market2008
- A Statistical Approach for Interval Forecasting of the Electricity PriceIEEE Transactions on Power Systems, 2008
- Forecasting Day Ahead Spot Electricity Prices Based on GASVM2008
- An Artificial Neural Network Approach for Short-Term Electricity Prices Forecasting2007
- Electricity Price Forecasting Using Evolved Neural Networks2007
- A Novel Approach to Forecast Electricity Price for PJM Using Neural Network and Similar Days MethodIEEE Transactions on Power Systems, 2007
- A Framework for Electricity Price Spike Analysis With Advanced Data Mining MethodsIEEE Transactions on Power Systems, 2007
- A Hybrid Method of Clipping and Artificial Neural Network for Electricity Price Zone Forecasting2006
- An Integrated Machine Learning Model for Day-Ahead Electricity Price Forecasting2006