Short Term Load Forecasting for Residential Buildings—An Extensive Literature Review

Author:

Gerwig Carola

Publisher

Springer International Publishing

Reference29 articles.

1. E-energy abschlussbericht: Ergebnisse und erkenntnisse aus der evaluation der sechs leuchtturmprojekte (2013). http://www.e-energie.info/documents/E-Energy_Ergebnisbericht_Handlungsempfehlungen_BAUM_140212.pdf

2. Alfares, H.K., Nazeeruddin, M.: Electric load forecasting: Literature survey and classification of methods. Int. J. Syst. Sci. 33(1), 23–34 (2002)

3. Bache, K., Lichman, M.: UCI machine learning repository (2013). http://archive.ics.uci.edu/ml

4. Barker, S., Mishra, A., Irwin, D., Cecchet, E., Shenoy, P., Albrecht, J.: Smart*: An open data set and tools for enabling research in sustainable homes. SustKDD (2012)

5. Bennett, C., Stewart, R.A., Lu, J.: Autoregressive with exogenous variables and neural network short-term load forecast models for residential low voltage distribution networks. Energies 7(5), 2938–2960 (2014)

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