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臺灣能源期刊論文全文

臺灣能源期刊第2卷第1期內容

出刊日期:March, 2015

題目
我國住宅與服務業部門之電力需求預測模型準確度比較
Title
The Power Demand Forecast of Residential and Service Sectors in Taiwan
作者
吳易樺、黃朝熙、陳庚轅、劉子衙
Authors
Yi-Hua Wu, Chao-Hsi Huang, Geng-Yuan Chen, Tzu-Yar Liu
摘要
本研究使用因素模型(factor model)預測我國住宅部門與服務業部門之電力需求,並與傳統向量自我迴歸(vector autoregressive, VAR)模型比較何者具有預測優勢。因素模型利用主成份分析法(principle component analysis),從眾多資訊萃取因素來代表複雜的資訊。我們發現IMS, UN,以及DMS等因素模型對我國住宅部門與服務業部門之電力需求預測優於VAR模型。因此因素模型比傳統 模型更精準預測我國住宅與服務業部門之電力需求走勢。
關鍵字
電力需求預測、住宅部門、服務業部門、預測誤差比較、VAR、Factor Model
Abatract
This paper adopts the factor model to forecast the power demand of the residential and service sectors, comparing its forecasting performance with the VAR model. The factor model uses the principle component analysis, generating factors from abundant information to represent the complicated data. We find that the factor model such as IMS, UN, and DMS outperforms the forecasting performance of the vector autoregressive model. As a result, the factor model has more advantage in forecasting the power demand of service and residential sectors than the VAR model.
Keywords
Power Demand forecast, Residential Sector, Service Sector, Forecast Error Comparison, VAR, Factor Model