中原大學電機工程學系
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101學年度
應用小波轉換及倒傳遞類神經進行短期電價預測
指導老師:洪穎怡   組長: 江茹慧   組員:劉孟晨
本計畫即在探討電業市場區域邊際電價的前一小時預測,又由於市場電價變化劇烈,所以使用小波分解再匯入倒傳遞類神經網路以求更精確之分析並利用美國 PJM 市場之資料進行MATLAB的模擬,了解工作天與週末的用電需求量差異 。
This project discussed a hour ahead price forecasting of electric power industry’s locational marginal price . Owing to the dramatic chage of locational marginal price we used the wavelet decomposition and back- propagation neural network to accurate at this analysis . The data was from PJM market and simulated with MATLAB so as to understand the difference need of power between working days and holidays .
我們決定將壓電陶瓷晶片和鞋子做結合。
   
 
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