Forecasting Monthly Electric Energy Consumption Using Feature Extraction
Open Access
- 28 September 2011
- Vol. 4 (10), 1495-1507
- https://doi.org/10.3390/en4101495
Abstract
Monthly forecasting of electric energy consumption is important for planning the generation and distribution of power utilities. However, the features of this time series are so complex that directly modeling is difficult. Three kinds of relatively simple series can be derived when a discrete wavelet transform is used to extract the raw features, namely, the rising trend, periodic waves, and stochastic series. After the elimination of the stochastic series, the rising trend and periodic waves were modeled separately by a grey model and radio basis function neural networks. Adding the forecasting values of each model can yield the forecasting results for monthly electricity consumption. The grey model has a good capability for simulating any smoothing convex trend. In addition, this model can mitigate minor stochastic effects on the rising trend. The extracted periodic wave series, which contain relatively less information and comprise simple regular waves, can improve the generalization capability of neural networks. The case study on electric energy consumption in China shows that the proposed method is better than those traditionally used in terms of both forecasting precision and expected risk.This publication has 21 references indexed in Scilit:
- SVR with Hybrid Chaotic Immune Algorithm for Seasonal Load Demand ForecastingEnergies, 2011
- A New Neural Network Approach to Short Term Load Forecasting of Electrical Power SystemsEnergies, 2011
- BP neural network with rough set for short term load forecastingExpert Systems with Applications, 2009
- Bayesian neural network approach to short time load forecastingEnergy Conversion and Management, 2008
- An efficient approach for short term load forecasting using artificial neural networksInternational Journal of Electrical Power & Energy Systems, 2006
- Reinforcement Scheduling Convergence in Power Systems Transmission PlanningIEEE Transactions on Power Systems, 2005
- Univariate modeling and forecasting of energy consumption: the case of electricity in LebanonEnergy, 2001
- Forecasting monthly electric energy consumption in eastern Saudi Arabia using univariate time-series analysisEnergy, 1997
- A generalized knowledge-based short-term load-forecasting techniqueIEEE Transactions on Power Systems, 1993
- A regression-based approach to short-term system load forecastingIEEE Transactions on Power Systems, 1990