Gas demand forecasting by a new artificial intelligent algorithm

Vahid Khatibi.B; Elham Khatibi

doi:10.1117/12.920305

13 January 2012 Gas demand forecasting by a new artificial intelligent algorithm

Vahid Khatibi.B, Elham Khatibi

Proceedings Volume 8349, Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis; 83492P (2012) https://doi.org/10.1117/12.920305
Event: Fourth International Conference on Machine Vision (ICMV 11), 2011, Singapore, Singapore

Abstract

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.

Citation Download Citation

Vahid Khatibi.B and 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); https://doi.org/10.1117/12.920305

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