Rough set theory with discriminant analysis in analyzing electricity loads |
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| Authors: | Ping-Feng Pai Tai-Chi Chen |
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| Affiliation: | 1. University of Pri?tina, Faculty of Agriculture, Kopaoni?ka, 38219 Le?ak, Serbia;2. High Economic School of Professional Studies Pe?, ul. Dositeja Obradovi?a bb, 38218 Leposavi?, Serbia;3. University of Pri?tina, Faculty of Technical Sciences, Kneza Milosa 7, 38220 Kosovska Mitrovica, Serbia;4. Young Researchers and Elite Club, Hamedan Branch, Islamic Azad University, Hamedan, Iran;1. Department of Mechanical Engineering, University of La Rioja, Edificio Departamental, C/Luis de Ulloa 20, 26004 Logroño, La Rioja, Spain;2. Department of Electrical Engineering, University of La Rioja, Edificio Departamental, C/Luis de Ulloa 20, 26004 Logroño, La Rioja, Spain;1. CESQA (Quality and Environmental Research Centre), Department of Industrial Engineering, University of Padova, Via Marzolo 9, 35131 Padova, Italy;2. Center for Energy Technologies, AU-Herning, Aarhus University, Birk Centerpark 15, DK-7400 Herning, Denmark;3. Vermont Law School, Institute for Energy & the Environment, PO Box 96, 164 Chelsea Street, South Royalton, VT 05068-0444, United States;1. I. Strele 6/27, 16000 Leskovac, Serbia;2. Business Department, Company for electric power supply “Jugoistok” Ni?, Branch “Elektrodistribucija – Leskovac”, Stojana Ljubi?a 16, 16000 Leskovac, Serbia;3. Company for electric power supply “Jugoistok” Ni?, Branch “Elektrodistribucija – Leskovac”, Stojana Ljubi?a 16, 16000 Leskovac, Serbia;4. IT Department, Company for electric power supply “Jugoistok” Ni?, Branch “Elektrodistribucija – Leskovac”, Stojana Ljubi?a 16, 16000 Leskovac, Serbia;1. Technology Management, Economics and Policy Program, Seoul National University, Shillim-Dong, Kwanak-Ku, 151-742 Seoul, Republic of Korea;2. Baganuur and South East Regional Network of the Electrical Distribution State Owned Stock Company, Ulaanbaatar Baganuur District Factory Area, BSERNED Company, Mongolia;3. Korea Information Society Development Institute, Juam-Dong, Gwachun-Si, 427-710 Gyeongi-Do, Republic of Korea |
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| Abstract: | With the ability to deal with both numeric and nominal information, rough set theory (RST), which can express knowledge in a rule-based form, has been one of the most important techniques in data analysis. However, applications of rough set theory for analyzing electricity loads are not widely discussed. Thus, this investigation employs rough set theory to analyze electricity loads. Additionally, to reduce the time generating reducts by rough set theory, linear discriminant analysis (LDA) is used to generate a reduct for rough set model. Therefore, this study designs a hybrid discriminant analysis and rough set model (DARST) to provide decision rules representing relations in an electric load information system. In this investigation, nine condition factors and variations of electricity loads are employed to examine the feasibility of the hybrid model. Experimental results reveal that the proposed model can efficiently and accurately analyze the relation between condition variables and variations of electricity loads. Consequently, the proposed model is a promising alternative for developing an electric load information system and offers decision rules base for the utility management as well as operations staff. |
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