13 January 2012 Gas demand forecasting by a new artificial intelligent algorithm
Author Affiliations +
Energy demand forecasting is a key issue for consumers and generators in all energy markets in the world. This paper presents a new forecasting algorithm for daily gas demand prediction. This algorithm combines a wavelet transform and forecasting models such as multi-layer perceptron (MLP), linear regression or GARCH. The proposed method is applied to real data from the UK gas markets to evaluate their performance. The results show that the forecasting accuracy is improved significantly by using the proposed method.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Vahid Khatibi.B, Vahid Khatibi.B, Elham Khatibi, Elham Khatibi, } "Gas demand forecasting by a new artificial intelligent algorithm", Proc. SPIE 8349, Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis, 83492P (13 January 2012); doi: 10.1117/12.920305; https://doi.org/10.1117/12.920305

Back to Top