| Summary: | 碩士 === 國立高雄應用科技大學 === 電機工程系博碩士班 === 103 === As 40% of power load of the Taipower are consumed by the lighting and air-conditioning customers，the load characteristic of these consumers is highly influenced by the climate，and that so it is a important issue for the Taipower to understand the sensitivity of climate。In order to perform the subsequent research, it requires massive amount of user load and climate data. As the data collections require multiple processes, it would be more efficient to integrate these data on the internet database, then carryout the calculation and estimation through cloud computing techniques. Through this method, the Taipower could estimate the load curve to achieve a more efficSient working process. This study would carryout the regression analysis and the associated climate sensitivity estimation for customers. At the last, this research would development a cloud computing platform for the Taipower to obtain the possible load curve affected by the climate variation accurately and efficiently.
Keyword: Climate Sensitivity、 Cloud Computing、 Network Database
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