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《Advanced Technology of Electrical Engineering and Energy》 1999-01
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LING Qing (Shandong Architecturaland Civil Engineering Institute 250014) WANG Xin (Shandong University of Technology 250061)  
A new kind of neural network algorithm for hourly load forecasting, consisting of several sub neural networks in structure, is introduced in this paper. For the different characters of hourly load on every weekday, the seven days of a week are divided into four types. After the patterns of every typical day have been taken for training every sub neural network, the network can be used to forecast the hourly load of different typical days by different sub neural networks. A practical example shows that this algorithm can reflect the influences of atmospheric temperature and day type on power load.
【CateGory Index】: TM714
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