Accurate Forecast Improvement Approach for Short Term Load Forecasting Using Hybrid Filter-Wrap Feature Selection

Samuel Atuahene, Yukun Bao, Patricia Semwaah Gyan and Yao Yevenyo Ziggah
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Samuel Atuahene: Center for Modern Information Management, School of Management, Huazhong University of Science and Technology, Wuhan-China
Yukun Bao: Center for Modern Information Management, School of Management, Huazhong University of Science and Technology, Wuhan-China
Patricia Semwaah Gyan: Faculty of Earth Resources, China University of Geosciences, Wuhan-China
Yao Yevenyo Ziggah: Department of Geomatic Engineering, University of Mines and Technology, Tarkwa, Ghana

International Journal of Management Science and Business Administration, 2019, vol. 5, issue 2, 37-49

Abstract: Accurate hybrid ï¬ lter– wrap approach is quite important for short term load forecasting as it not only improve forecasting accuracy performance, but also could effectively avoid converging prematurely. The importance of input selection-features is an essential part to develop models. Currently and dynamic surroundings, energy demand, quantity and values are becoming unpredictable and progressively volatile. Increasing amount of decision-making procedures in the industries in terms of energy require a wide-ranging outlook of the uncertain forthcoming. This paper explains the selection method for the proposed hybrid filter-wrapper whose primary composition includes Personal Modular Impactor (PMI) based filter technique and the Firefly Algorithm (FA) based filter wrapper. The filter wrapper planning technique involves the selection of the best corresponding inputs by a predefined model-free technique that measures the specific relationship between the output selection and the input variable. FA wrapper based technique is more useful compared to the filter procedure. Modular Impactor (MI) is a technique mostly preferred by individuals to measure the dependency of variables and commonly used to select input features and in other key fields.

Keywords: Load Forecasting; Energy Forecast; Personal Modular Impactor; Firefly Algorithm (search for similar items in EconPapers)
JEL-codes: M00 (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:mgs:ijmsba:v:5:y:2019:i:2:p:37-49

DOI: 10.18775/ijmsba.1849-5664-5419.2014.52.1004

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