Implementation of General Regression Neural Network into Long- and Middle- Term Electricity Demand Forecasts
碩士 === 元智大學 === 工業工程研究所 === 89 === In this research, we propose a novel approach to forecast long-term and middle-term demand. Traditionally, ARIMA was one of the most effective statistical methods used to forecast the power load in the past. Recently, Back Propagation Network（BPN） is a self-learnin...
| Main Authors: | , |
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2001
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| Online Access: | http://ndltd.ncl.edu.tw/handle/96154424320423038354 |