Dynamic energy-consumption indicators for domestic appliances: environment, behaviour and design, Energy and Buildings, vol.35, issue.8, pp.821-841, 2003. ,
DOI : 10.1016/S0378-7788(02)00241-4
Characterising domestic electricity consumption patterns by dwelling and occupant socio-economic variables: An Irish case study, Energy and Buildings, vol.48, pp.240-248, 2012. ,
DOI : 10.1016/j.enbuild.2012.01.037
Energy Vision 2020: Integrated Resource Plan/Environmental Impact Statement, 1995. ,
A large-scale study on predicting and contextualizing building energy usage, Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, pp.330-338, 2011. ,
Hourly Electricity Load Forecasting: An Empirical Application to the Italian Railways, World Academy of Science, Engineering and Technology, vol.5, pp.888-895, 2011. ,
Electric load forecasting: literature survey and classification of methods, International Journal of Systems Science, vol.33, pp.23-34, 2002. ,
Electricity load forecasting for residential customers: Exploiting aggregation and correlation between households, 2013 Sustainable Internet and ICT for Sustainability (SustainIT), pp.1-6, 2013. ,
DOI : 10.1109/SustainIT.2013.6685208
Improving Energy Use Forecast for Campus Micro-grids Using Indirect Indicators, 2011 IEEE 11th International Conference on Data Mining Workshops, pp.1-9, 2011. ,
DOI : 10.1109/ICDMW.2011.95
Towards Accurate Electricity Load Forecasting in Smart Grids, Proceedings of The Fourth International Conference on Advances in Databases, Knowledge, and Data Applications, pp.52-57, 2012. ,
Fuzzy inference applied to spatial load forecasting, PowerTech Budapest 99. Abstract Records. (Cat. No.99EX376), pp.35-40, 1999. ,
DOI : 10.1109/PTC.1999.826435
Models for long-term energy forecasting, 2003 IEEE Power Engineering Society General Meeting (IEEE Cat. No.03CH37491), pp.235-239, 2003. ,
DOI : 10.1109/PES.2003.1267174
Towards automatic classification of private households using electricity consumption data Automatic socio-economic classification of households using electricity consumption data, Proceedings of the Fourth ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in BuildingsProceedings of the fourth international conference on Future energy systems, pp.169-17675, 2012. ,
Pruning decision trees and lists, 2000. ,
Pattern Recognition and Machine Learning, 2006. ,
Household Electricity Consumption Routines and Tailored Feedback, Proceedings of ACEEE Summer Study on Energy Efficiency, pp.193-206, 2012. ,
Up to year 2020 load forecasting using neural nets, Electric Power System Research, pp.787-797, 2002. ,
DOI : 10.1016/S0142-0615(01)00086-2
Neural network load forecasting with weather ensemble predictions, IEEE Transactions on Power Systems, vol.17, issue.3, pp.626-632, 2002. ,
DOI : 10.1109/TPWRS.2002.800906
Support vector machines for short-term electrical load forecasting, International Journal of Energy Research, vol.9, issue.4, pp.335-345, 2002. ,
DOI : 10.1002/er.787
Hybrid adaptive techniques for electric-load forecast using ANN and ARIMA, IEE Proceedings - Generation, Transmission and Distribution, vol.147, issue.4, pp.213-217, 2000. ,
DOI : 10.1049/ip-gtd:20000521
Random Forests, Machine Learning, pp.5-32, 2001. ,
Eletricity Customer Behaviour Trial, Commission for Energy Regulation, vol.23, 2011. ,
The Nature of Statistical Learning Theory, 2002. ,
Data mining, ACM SIGMOD Record, vol.31, issue.1, 2011. ,
DOI : 10.1145/507338.507355
LIBLINEAR: A library for large linear classification, Journal of Machine Learning ResearchJournal of Machine Learning Research, vol.9, pp.1871-1874, 2008. ,