User Satisfaction Based Home Energy Management System for Smart Cities
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-61542-4_18
Reference19 articles.
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3. Zhang, J., Wu, Y., Guo, Y., Wang, B., Wang, H., Liu, H.: A hybrid harmony search algorithm with differential evolution for day-ahead scheduling problem of a microgrid with consideration of power flow constraints. Appl. Energy 183, 791–804 (2016)
4. Ahmad, A., Javaid, N., Guizani, M., Alrajeh, N. and Khan, Z.A.: An accurate and fast converging short-term load forecasting model for industrial applications in a smart grid. IEEE Trans. Indus. Inform. (2016)
5. Moradi, M.H., Abedini, M., Tousi, S.R., Hosseinian, S.M.: Optimal siting and sizing of renewable energy sources and charging stations simultaneously based on Differential Evolution algorithm. Int. J. Electr. Power Energy Syst. 73, 1015–1024 (2015)
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