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Regulatory Authority for Electricity and Gas (2013). net metering scheme regulation. ( http://www.
autorita.energia.it/allegati/docs/12/322-12.pdf ) . Last Access 28 October 2013.
Richardson, I., Thomson, M., & In eld, D. (2008). A high-resolution domestic building
occupancy model for energy demand simulations. Energy and Buildings, 40(8), 1560 - 1566.
Richardson, I., Thomson, M., Infield, D., & Clifford, C. (2010). Domestic electricity use: A high-
resolution energy demand model. Energy and Buildings, 42(10), 1878
1887.
Sawyer, R., Anderson, J., Foulks, E., Troxler, J., & Cox, R. (2009). Creating low-cost energy-
management systems for homes using non-intrusive energy monitoring devices. In Energy
Conversion Congress and Exposition, ECCE 2009 (pp. 3239
-
3246). IEEE.
Shahgoshtasbi, D., & Jamshidi, M. (2011). Energy efficiency in a smart house with an intelligent
neuro-fuzzy lookup table. In 6th International Conference on System of Systems Engineering
(SoSE) (pp. 288
-
292).
Subbiah, R., Lum, K., Marathe, A., & Marathe, M. (2013). Activity based energy demand
modeling for
-
residential buildings.
In IEEE PES Innovative Smart Grid Technologies
6).
Suh, D., Yoo, Y.-S., Lee, I.-W., & Chang, S. (2012). An electricity energy and water consumption
model
(pp. 1
-
for korean style apartment buildings.
In International Conference on Control,
Automation. and Systems (pp. 1113 - 1117).
Sundararajan, N., Saratchandran, P., & Li, Y. (2002). Fully tuned radial basis function neural
networks for flight control. London: Kluver Academic.
Timilsina, G. R., Kurdgelashvili, L., & Narbel, P. A. (2012). Solar energy: Markets, economics
and policies. Renewable and Sustainable Energy Reviews, 16(1), 449 - 465.
Widen, J., Lundh, M., Vassileva, I., Dahlquist, E., Ellegard, K., & Wackelgard, E. (2009).
Constructing load profiles for household electricity and hot water from time-use data
768.
Yang, C.-J. (2010). Reconsidering solar grid parity. Energy Policy, 38(7), 3270
modelling approach and validation. Energy and Buildings, 41(7), 753
-
3273.
Yingwei, L., Sundararajan, N., & Saratchandran, P. (1998). Performance evaluation of a sequential
minimal radial basis function (RBF) neural network learning algorithm. IEEE Transaction on
Neural Networks, 9(2), 308
-
318.
Zaidi, A., Kupzog, F., Zia, T., & Palensky, P. (2010). Load recognition for automated demand
response in microgrids. In IECON 2010
-
36th Annual Conference on IEEE Industrial
2447).
Zeilinger, F. (2011). Simulation of the effect of demand side management to the power
consumption of households. In 3rd International Youth Conference on Energetics (IYCE),
Proceedings of the 2011 (pp. 1 - 9).
Zia, T., Bruckner, D., & Zaidi, A. (2011). A hidden markov model based procedure for identifying
household electric loads. In 37th Annual Conference on IEEE Industrial Electronics Society
(pp. 3218 - 3223).
Zong, Y., Kullmann, D., Thavlov, A., Gehrke, O., & Bindner, H. (2012). Application of model
predictive control for active load management in a distributed power system with high wind
penetration. IEEE Transactions on Smart Grid, 3(2), 1055
Electronics Society (pp. 2442
-
-
1062.
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