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Fisher Information Based Meteorological Factors Introduction and Features Selection for Short-Term Load Forecasting

1
College of Electrical Information and Engineering, Jiangsu University, Zhenjiang 212013, China
2
Key Laboratory of Facility Agriculture Measurement and Control Technology and Equipment of Machinery Industry, Jiangsu University, Zhenjiang 212013, China
*
Author to whom correspondence should be addressed.
Entropy 2018, 20(3), 184; https://doi.org/10.3390/e20030184
Received: 21 January 2018 / Revised: 26 February 2018 / Accepted: 7 March 2018 / Published: 9 March 2018
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Abstract

Weather information is an important factor in short-term load forecasting (STLF). However, for a long time, more importance has always been attached to forecasting models instead of other processes such as the introduction of weather factors or feature selection for STLF. The main aim of this paper is to develop a novel methodology based on Fisher information for meteorological variables introduction and variable selection in STLF. Fisher information computation for one-dimensional and multidimensional weather variables is first described, and then the introduction of meteorological factors and variables selection for STLF models are discussed in detail. On this basis, different forecasting models with the proposed methodology are established. The proposed methodology is implemented on real data obtained from Electric Power Utility of Zhenjiang, Jiangsu Province, in southeast China. The results show the advantages of the proposed methodology in comparison with other traditional ones regarding prediction accuracy, and it has very good practical significance. Therefore, it can be used as a unified method for introducing weather variables into STLF models, and selecting their features. View Full-Text
Keywords: short-term load forecasting; weather factors; feature selection; Fisher information short-term load forecasting; weather factors; feature selection; Fisher information
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Cai, S.; Liu, L.; Sun, H.; Yan, J. Fisher Information Based Meteorological Factors Introduction and Features Selection for Short-Term Load Forecasting. Entropy 2018, 20, 184.

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