The Study of Electricity Analysis and Contract CapacityDecision in Furniture Store
碩士 === 正修科技大學 === 電機工程研究所 === 107 === In this study, the grey theory prediction system and particle swarm calculus are used to search the optimal contract capacity in furniture store. Using the grey theory to regression analysis were used to predict the probability distribution of power load use of...
Main Authors: | , |
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Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2019
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Online Access: | http://ndltd.ncl.edu.tw/handle/vyywj4 |
Summary: | 碩士 === 正修科技大學 === 電機工程研究所 === 107 === In this study, the grey theory prediction system and particle swarm calculus are used to search the optimal contract capacity in furniture store. Using the grey theory to regression analysis were used to predict the probability distribution of power load use of every month in furniture store in next year. According to test results to construct power load costs mathematical model. Then, the particle swarm optimization was employed to find the optimal contract capacity of the time and no time of use rates in low voltage power price. The result shows that the algorithm can reach the optimal contract capacities very efficiently while achieving the minimum power cost of an industrial customer in next year.
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