1. National-scale electricity peak load forecasting: Traditional, machine learning, or hybrid model?. (2021). Cho, Youngsang ; Lee, Juyong.
   In: Papers.
   RePEc:arx:papers:2107.06174.

   Full description at Econpapers || Download paper

1. G. A. Darbellay and M. Slama, “Forecasting the short-term demand for electricity: Do neural networks stand a better chance?,” Int. J. Forecast., vol. 16, no. 1, pp. 71–83, 2000.

2. G. E. P. Box, G. M. Jenkins, and G. C. Reinsel, Time Series Analysis: Forecasting & Control. 1994.
   Paper not yet in RePEc: Add citation now
   
3. J. Hinman and E. Hickey, “Modeling and Forecasting Short-Term Electricity Load Using Regression Analysis,” Illinois State Univ., pp. 1–51, 2009.
   Paper not yet in RePEc: Add citation now
   

4. J. W. Taylor, L. M. de Menezes, and P. E. McSharry, “A comparison of univariate methods for forecasting electricity demand up to a day ahead,” Int. J. Forecast., vol. 22, no. 1, pp. 1–16, 2006.

5. L. J. Soares and L. R. Souza, “Forecasting electricity demand using generalized long memory,” Int. J. Forecast., vol. 22, no. 1, pp. 17–28, 2006.

6. L. J. Soares and M. C. Medeiros, “Modeling and forecasting short-term electricity load: A comparison of methods with an application to Brazilian data,” Int. J. Forecast., vol. 24, no. 4, pp. 630–644, 2008.

7. M. S. Kim, “Modeling special-day effects for forecasting intraday electricity demand,” Eur. J. Oper. Res., vol. 230, no. 1, pp. 170–180, 2013.

8. N. Amjady, “Short-term hourly load forecasting using time-series modeling with peak load estimation capability,” IEEE Trans. Power Syst., vol. 16, no. 4, pp. 798–805, 2001.
   Paper not yet in RePEc: Add citation now
   

9. R. Ramanathan, R. Engle, C. W. J. Granger, F. Vahid-Araghi, and C. Brace, “Shorte-run forecasts of electricity loads and peaks,” Int. J. Forecast., vol. 13, no. 2, pp. 161–174, 1997.

10. R. Weron and A. Misiorek, “Modeling and forecasting electricity loads: A comparison,” Int. Conf. EEM-04 Proc., pp. 135–142, 2004.

11. S. Arora and J. W. Taylor, “Short-term forecasting of anomalous load using rule-based triple seasonal methods,” IEEE Trans. Power Syst., vol. 28, no. 3, pp. 3235–3242, 2013.
    Paper not yet in RePEc: Add citation now
    

12. T. Hong and S. Fan, “Probabilistic electric load forecasting: A tutorial review,” Int. J. Forecast., vol. 32, no. 3, pp. 914–938, 2016.

13. T. Hong, “Short Term Electric Load Forecasting,” North Carolina State University. 2010.
    Paper not yet in RePEc: Add citation now
    
14. T. Hong, M. Gui, M. E. Baran, and H. L. Willis, “Modeling and forecasting hourly electric load by multiple linear regression with interactions,” in IEEE PES General Meeting, PES 2010, 2010.
    Paper not yet in RePEc: Add citation now
    

15. T. Hong, P. Pinson, and S. Fan, “Global energy forecasting competition 2012,” International Journal of Forecasting, vol. 30, no. 2, pp. 357–363, 2014.

16. Z. Ismail, A. Yahya, and K. A. Mahpol, “Forecasting peak load electricity demand using statistics and rule based approach,” Am. J. Appl. Sci., vol. 6, no. 8, pp. 1618–1625, 2009.
    Paper not yet in RePEc: Add citation now
    

1. Forecasting day-ahead electricity load using a multiple equation time series approach. (2016). Hurn, Stan ; Clements, Adam ; Li, Z.
   In: European Journal of Operational Research.
   RePEc:eee:ejores:v:251:y:2016:i:2:p:522-530.

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2. Electricity consumption modelling: A case of Germany. (2016). Molnár, Peter ; Molnar, Peter ; Catherine, Linh Phuong ; Lin, Kuan-Heng.
   In: Economic Modelling.
   RePEc:eee:ecmode:v:55:y:2016:i:c:p:92-101.

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3. Oil price forecasting using gene expression programming and artificial neural networks. (2016). El-Masry, Ahmed ; Mostafa, Mohamed M.
   In: Economic Modelling.
   RePEc:eee:ecmode:v:54:y:2016:i:c:p:40-53.

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4. Research and application of a hybrid model based on multi-objective optimization for electrical load forecasting. (2016). Shao, Wei ; Xiao, Liye ; Zhang, Kequan ; Lu, Haiyan ; Wang, Chen.
   In: Applied Energy.
   RePEc:eee:appene:v:180:y:2016:i:c:p:213-233.

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5. Forecasting day-ahead electricity load using a multiple equation time series approach. (2015). Hurn, Stan ; Clements, Adam ; Li, Zili.
   In: NCER Working Paper Series.
   RePEc:qut:auncer:2015_01.

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6. Forecasting day-ahead electricity load using a multiple equation time series approach. (2014). A. S Hurn, ; A. E Clements, .
   In: NCER Working Paper Series.
   RePEc:qut:auncer:wp103.

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7. Forecasting low voltage distribution network demand profiles using a pattern recognition based expert system. (2014). Stewart, Rodney A. ; Lu, Junwei ; Bennett, Christopher J..
   In: Energy.
   RePEc:eee:energy:v:67:y:2014:i:c:p:200-212.

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8. A Neural Network Demand System. (2013). Boelaert, Julien.
   In: Documents de travail du Centre d'Economie de la Sorbonne.
   RePEc:mse:cesdoc:13081.

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9. A Neural Network Demand System. (2013). Boelaert, Julien.
   In: Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers).
   RePEc:hal:cesptp:halshs-00917810.

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10. Assessing Tolerance-Based Robust Short-Term Load Forecasting in Buildings. (2013). Penya, Yoseba K. ; Bretos, Oscar ; Prieto, Juan ; Fernandez, Ivan ; Borges, Cruz E..
    In: Energies.
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11. Modeling special-day effects for forecasting intraday electricity demand. (2013). Kim, Myung Suk.
    In: European Journal of Operational Research.
    RePEc:eee:ejores:v:230:y:2013:i:1:p:170-180.

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12. Forecasting intraday time series with multiple seasonal cycles using parsimonious seasonal exponential smoothing. (2012). Snyder, Ralph ; Taylor, James W..
    In: Omega.
    RePEc:eee:jomega:v:40:y:2012:i:6:p:748-757.

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13. Decomposition and statistical analysis for regional electricity demand forecasting. (2012). Seo, Seongwon ; Grozev, George ; Wang, Chi-Hsiang.
    In: Energy.
    RePEc:eee:energy:v:41:y:2012:i:1:p:313-325.

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14. SVR with Hybrid Chaotic Immune Algorithm for Seasonal Load Demand Forecasting. (2011). Hong, Wei-Chiang ; Dong, Yucheng ; Wei, Shih-Yung ; Chen, Li-Yueh ; Lai, Chien-Yuan.
    In: Energies.
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15. Electric load forecasting by seasonal recurrent SVR (support vector regression) with chaotic artificial bee colony algorithm. (2011). Hong, Wei-Chiang.
    In: Energy.
    RePEc:eee:energy:v:36:y:2011:i:9:p:5568-5578.

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16. Estimation of tourism-induced electricity consumption: The case study of Balearics Islands, Spain. (2011). Rossello, Jaume ; Bakhat, Mohcine.
    In: Energy Economics.
    RePEc:eee:eneeco:v:33:y:2011:i:3:p:437-444.

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17. Application of chaotic ant swarm optimization in electric load forecasting. (2010). Hong, Wei-Chiang.
    In: Energy Policy.
    RePEc:eee:enepol:v:38:y:2010:i:10:p:5830-5839.

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18. Triple seasonal methods for short-term electricity demand forecasting. (2010). Taylor, James W..
    In: European Journal of Operational Research.
    RePEc:eee:ejores:v:204:y:2010:i:1:p:139-152.

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19. Forecasting electricity demand in Japan: A Bayesian spatial autoregressive ARMA approach. (2010). Ohtsuka, Yoshihiro ; Oga, Takashi ; Kakamu, Kazuhiko.
    In: Computational Statistics & Data Analysis.
    RePEc:eee:csdana:v:54:y:2010:i:11:p:2721-2735.

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20. A new approach to estimating tourism-induced electricity consumption. (2009). Rossello, Jaume ; Bakhat, Mohcine ; Nadal, Jaume Rossello.
    In: CRE Working Papers (Documents de treball del CRE).
    RePEc:pdm:wpaper:2009/6.

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21. A neuro-computational intelligence analysis of the ecological footprint of nations. (2009). Nataraajan, Rajan ; Mostafa, Mohamed M..
    In: Computational Statistics & Data Analysis.
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22. A new approach to characterizing and forecasting electricity price volatility. (2008). Gray, Philip ; Chan, Kam Fong ; van Campen, Bart .
    In: International Journal of Forecasting.
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23. An evaluation of methods for very short-term load forecasting using minute-by-minute British data. (2008). Taylor, James W..
    In: International Journal of Forecasting.
    RePEc:eee:intfor:v:24:y:2008:i:4:p:645-658.

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24. Modeling and forecasting short-term electricity load: A comparison of methods with an application to Brazilian data. (2008). Medeiros, Marcelo ; Soares, Lacir J..
    In: International Journal of Forecasting.
    RePEc:eee:intfor:v:24:y:2008:i:4:p:630-644.

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25. A smooth transition periodic autoregressive (STPAR) model for short-term load forecasting. (2008). Souza, Reinaldo Castro ; Stevenson, Maxwell ; Amaral, Luiz Felipe .
    In: International Journal of Forecasting.
    RePEc:eee:intfor:v:24:y:2008:i:4:p:603-615.

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26. Forecasting the electricity load from one day to one week ahead for the Spanish system operator. (2008). Espasa, Antoni ; Grafe, Rosmarie ; Cancelo, Jose Ramon.
    In: International Journal of Forecasting.
    RePEc:eee:intfor:v:24:y:2008:i:4:p:588-602.

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27. Forecasting risks of natural gas consumption in Slovenia. (2007). Potocnik, Primoz ; Thaler, Marko ; Grabec, Igor ; Govekar, Edvard ; Poredos, Alojz.
    In: Energy Policy.
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28. Integration of genetic algorithm, computer simulation and design of experiments for forecasting electrical energy consumption. (2007). Tarverdian, S. ; Azadeh, A..
    In: Energy Policy.
    RePEc:eee:enepol:v:35:y:2007:i:10:p:5229-5241.

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29. Electricity rationing and public response. (2007). Souza, Leonardo ; Soares, Lacir Jorge.
    In: Energy Economics.
    RePEc:eee:eneeco:v:29:y:2007:i:2:p:296-311.

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30. Forecasting from one day to one week ahead for the Spanish system operator. (2007). Espasa, Antoni ; Grafe, Rosemarie ; Cancelo, Jose Ramon.
    In: DES - Working Papers. Statistics and Econometrics. WS.
    RePEc:cte:wsrepe:ws078418.

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31. Modeling and Forecasting Electricity Loads and Prices: A Statistical Approach. (2006). Weron, Rafal.
    In: HSC Books.
    RePEc:wuu:hsbook:hsbook0601.

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32. Computational Forecasting of Wavelet-converted Monthly Sunspot Numbers. (2006). Kaboudan, Mak.
    In: Journal of Applied Statistics.
    RePEc:taf:japsta:v:33:y:2006:i:9:p:925-941.

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33. Density forecasting for the efficient balancing of the generation and consumption of electricity. (2006). Taylor, James W..
    In: International Journal of Forecasting.
    RePEc:eee:intfor:v:22:y:2006:i:4:p:707-724.

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34. 25 years of time series forecasting. (2006). Hyndman, Rob ; Gooijer, Jan G..
    In: International Journal of Forecasting.
    RePEc:eee:intfor:v:22:y:2006:i:3:p:443-473.

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35. Forecasting with genetically programmed polynomial neural networks. (2006). Nikolaev, Nikolay Y. ; De Menezes, Lilian M..
    In: International Journal of Forecasting.
    RePEc:eee:intfor:v:22:y:2006:i:2:p:249-265.

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36. Modulated cycles, an approach to modelling periodic components from rapidly sampled data. (2006). Young, Peter C. ; Pedregal, Diego J..
    In: International Journal of Forecasting.
    RePEc:eee:intfor:v:22:y:2006:i:1:p:181-194.

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37. Forecasting electricity demand using generalized long memory. (2006). Souza, Leonardo ; Soares, Lacir Jorge.
    In: International Journal of Forecasting.
    RePEc:eee:intfor:v:22:y:2006:i:1:p:17-28.

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38. A comparison of univariate methods for forecasting electricity demand up to a day ahead. (2006). McSharry, Patrick ; De Menezes, Lilian M. ; Taylor, James W..
    In: International Journal of Forecasting.
    RePEc:eee:intfor:v:22:y:2006:i:1:p:1-16.

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39. Comparing linear and nonlinear forecasts for Taiwans electricity consumption. (2006). Pao, Hsiao-Tien .
    In: Energy.
    RePEc:eee:energy:v:31:y:2006:i:12:p:2129-2141.

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40. 25 Years of IIF Time Series Forecasting: A Selective Review. (2005). Hyndman, Rob ; Gooijer, Jan G. ; De Gooijer, Jan G..
    In: Tinbergen Institute Discussion Papers.
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41. Modelling and forecasting short-term electricity load: a two step methodology. (2005). Medeiros, Marcelo ; Soares, Lacir J..
    In: Textos para discussão.
    RePEc:rio:texdis:495.

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42. Forecasting electricity prices for a day-ahead pool-based electric energy market. (2005). Espinola, Rosa ; Plazas, Miguel A. ; Contreras, Javier ; Conejo, Antonio J..
    In: International Journal of Forecasting.
    RePEc:eee:intfor:v:21:y:2005:i:3:p:435-462.

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43. Modelling the hourly Spanish electricity demand. (2005). Cáceres-Hernández, José Juan ; Caceres-Hernandez, Jose Juan ; Martin-Rodriguez, Gloria.
    In: Economic Modelling.
    RePEc:eee:ecmode:v:22:y:2005:i:3:p:551-569.

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44. Linear versus neural network forecasts for European industrial production series. (2004). Osborn, Denise ; Heravi, Saeed ; Birchenhall, C. R..
    In: International Journal of Forecasting.
    RePEc:eee:intfor:v:20:y:2004:i:3:p:435-446.

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45. Short-term electricity demand forecasting using double seasonal exponential smoothing. (2003). Taylor, J W.
    In: Journal of the Operational Research Society.
    RePEc:pal:jorsoc:v:54:y:2003:i:8:d:10.1057_palgrave.jors.2601589.

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46. Forecasting electricity load demand: analysis of the 2001 rationing period in Brazil. (2003). Souza, Leonardo ; Soares, Lacir Jorge.
    In: FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE).
    RePEc:fgv:epgewp:491.

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47. Forecasting electricity demand using generalized long memory. (2003). Souza, Leonardo ; Soares, Lacir Jorge.
    In: FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE).
    RePEc:fgv:epgewp:486.

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48. A comparative study of linear and nonlinear models for aggregate retail sales forecasting. (2003). Zhang, Guoqiang Peter ; Chu, Ching-Wu.
    In: International Journal of Production Economics.
    RePEc:eee:proeco:v:86:y:2003:i:3:p:217-231.

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49. Neural network forecasts of Canadian stock returns using accounting ratios. (2003). Olson, Dennis ; Mossman, Charles .
    In: International Journal of Forecasting.
    RePEc:eee:intfor:v:19:y:2003:i:3:p:453-465.

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50. Forecasting consumer credit card adoption: what can we learn about the utility function?. (2003). Yang, Sha ; Qi, Min.
    In: International Journal of Forecasting.
    RePEc:eee:intfor:v:19:y:2003:i:1:p:71-85.

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