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題名:Forecast Improvement of Electricity Load Using a Model Integrating ARIMA and ANN
書刊名:臺灣能源期刊
作者:陳春志 引用關係游凱為許倢歆楊世銘
作者(外文):Chen, C. J.Yu, K. W.Hsu, C. H.Yang, S. M.
出版日期:2019
卷期:6:3
頁次:頁223-239
主題關鍵詞:類神經網路自我迴歸移動平均短期負載預測Artificial neural networkAutoregressive integrated moving averageShort-term load forecasting
原始連結:連回原系統網址new window
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  • 被引用次數被引用次數:期刊(0) 博士論文(0) 專書(0) 專書論文(0)
  • 排除自我引用排除自我引用:0
  • 共同引用共同引用:0
  • 點閱點閱:6
期刊論文
1.Suganthia, L.、Samuelb, Anand A.(2012)。Energy models for demand forecasting: A review。Renewable and Sustainable Energy Reviews,16,1223-1240。  new window
2.Hamzaçebi, C.(2007)。Forecasting of Turkey's net electricity energy consumption on sectoral bases。Energy Policy,35(3),2009-2016。  new window
3.Xiao, Z.、Ye, S. J.、Zhong, B.、Sun, C. X.(2009)。BP neural network with rough set for short term load forecasting。Expert Systems with Applications,36(1),273-279。  new window
4.Zhang, G. P.(2003)。Time series forecasting using a hybrid ARIMA and neural network model。Neurocomputing,50(1),159-175。  new window
5.Hippert, H. S.、Pedreira, C. E.、Souza, R. Castro(2001)。Neural Networks for Short-term Load Forecasting: A Review and Evaluation。IEEE Trans. On Power Systems,16,44-55。  new window
6.Narayan, P. K.、Smyth, R. S.(2005)。Electricity consumption, employment and real income in Australia evidence from multivariate Granger causality tests。Energy policy,33,1109-1116。  new window
7.Ahmad, A. S.、Hassan, M. Y.、Abdullah, M. P.、Rahman, H. A.、Hussin, F.、Abdullah, H.、Saidur, R.(2014)。A review on applications of ANN and SVM for building electrical energy consumption forecasting。Renewable and Sustainable Energy Reviews,33(5),102-109。  new window
8.Erdogdu, E.(2007)。Electricity demand analysis using cointegration and ARIMA modelling: A case study of Turkey。Energy Policy,35(2),1129-1146。  new window
9.Fard, Abdollah Kavousi、Akbari-Zadeh, M. R.(2014)。A hybrid method based on wavelet, ANN and ARIMA model for short-term load forecasting。Journal of Experimental & Theoretical Artificial Intelligence,26(2),167-182。  new window
10.Khashei, M.、Bijari, M.(2011)。A novel hybridization of artificial neural networks and ARIMA models for time series forecasting。Applied Soft Computing,11(2),2664-2675。  new window
11.Chavez, S. G.、Bernat, J. X.、Coalla, H. L.(1999)。Forecasting of energy production and consumption in Asturias (northern Spain)。Energy,24(3),183-198。  new window
12.Catalao, J. P. S.、Mariano, S. J. P. S.、Mendes, V.(2007)。Short-term electricity prices forecasting in a competitive market: a neural network approach。Electric Power Systems Research,77(3),1297-1304。  new window
13.Chen, Chuen-jyh、Yang, Shih-ming、Wang, Zi-cheng(20120900)。Development of a Neuro-Fuzzy Model for Airline Passenger Forecasting。Journal of Aeronautics, Astronautics and Aviation. Series A,44(3),169-175。  new window
14.Do, L. P.、Lin, K. H.、Molnára, P.(2016)。Electricity consumption modelling: a case of Germany。Economic Modelling,55,92-101。  new window
15.Ekonomou, L.(2010)。Greek long-term energy consumption prediction using artificial neural networks。Energy,35,512-517。  new window
16.Huang S. J.、Shih, K. R.(2003)。Short-term load forecasting via ARIMA model identification including non-Gaussian process considerations。IEEE Transactions on Power Systems,18(2),673-679。  new window
17.Liu, Y. C.、Sun, S. H.、Yang, S. M.、Chuang, C.(2013)。Application of genetic algorithm in production scheduling: a case study on the food processing business。Information: An International Interdisciplinary Journal,15(12),6063-6075。  new window
18.Sarangi, P. K.、Singh, N.、Chauhan, R. K.、Singh, R.(2009)。Short term load forecasting using artificial neural network: a comparison with genetic algorithm implementation。Asian Research Publishing Network Journal of Engineering and Applied Sciences,4(9),88-93。  new window
19.Su, C. L.、Yang, S. M.、Huang, W. L.(2011)。A two-stage algorithm integrating genetic algorithm and modified newton method for neural network training in engineering systems。Expert Systems with Applications,38(10),12189-12194。  new window
20.Yalcinoz, T.、Yalcinoz, U.(2005)。Short term and medium-term power distribution load forecasting by neural networks。Energy Conversion and Management,46,1393-1405。  new window
21.Chuang, F. K.、Hung, C. Y.、Chang, C. Y.、Kuo, K. C.(2013)。Deploying ARIMA and artificial neural networks models to predict energy consumption in Taiwan。Sensor Lett,11,2333-2340。  new window
22.Deb, C.、Zhang, F.、Yang, J.、Lee, S. E.、Shah, K. W.(2017)。A review on time series forecasting techniques for building energy consumption。Renewable and Sustainable Energy Reviews,74,902-924。  new window
23.Ferreira, V. H.、Da Silva, A. P. A.(2007)。Toward estimating autonomous neural network-based electric load forecasters。IEEE T. Power. Syst.,22,1554-1562。  new window
24.Faruk, D. O.(2010)。A hybrid neural network and ARIMA model for water quality time series prediction。Eng. Appl. Artif. Intel.,23,586-594。  new window
25.Fumo, N.(2014)。A review on the basics of building energy estimation。Renew Sustain Energy Rev.,31,53-60。  new window
26.Khashei, M.、Bijar, M.(2011)。A new hybrid methodology for nonlinear time series forecasting。Modelling and Simulation in Engineering,2011,(379121)1-(379121)5。  new window
27.Martínez-Álvarez, F.、Troncoso, A.、Asencio-Cortés, G.、Riquelme, J.(2015)。A survey on data mining techniques applied to electricity related time series forecasting。Energies,8,13162-13193。  new window
28.Mat-Daut, M. A.、Hassan, M. Y.、Abdullah, H.、Rahman, H. A.、Abdullah, M. P.、Hussin, F.(2017)。Building electrical energy consumption forecasting analysis using conventional and artificial intelligence methods: a review。Renew Sustain Energy Rev.,70,1108-1118。  new window
29.Ohtsuka, Y.、Oga, T.、Kakamu, K.(2010)。Forecasting electricity demand in Japan: a bayesian spatial autoregressive ARMA approach。Comput. Stat. Data An.,54,2721-2735。  new window
30.Raza, M. Qamar、Khosravi, A.(2015)。A review on artificial intelligence based load demand forecasting techniques for smart grid and buildings。Renew Sustain Energy Rev.,50,1352-1372。  new window
31.Tan, Z.、Zhang, J.、Wang, J.、Xu, J.(2010)。Day ahead electricity price forecasting using wavelet transform combined with ARIMA and GARCH models。Appl. Energ.,87,3606-3610。  new window
32.Wang, Z.、Srinivasan, R. S.(2017)。A review of artificial intelligence based building energy use prediction: contrasting the capabilities of single and ensemble prediction models。Renew Sustain Energy Rev.,75,796-808。  new window
33.Zhao, H.、Magoulès, F.(2012)。A review on the prediction of building energy consumption。Renew Sustain Energy Rev.,16,3586-3592。  new window
圖書
1.Box, G. E. P.、Jenkins, G. M.(1976)。Time Series Analysis: Forecasting and Control。San Francisco, CA:Holden-Day。  new window
 
 
 
 
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