Energy Optimization Techniques for Demand-Side Management in Smart Homes

Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 8)


Due to increase in population, demand of energy is increasing. To make energy demand efficient and reliable many techniques are integrated in home areas. We implemented Grey Wolf Optimization (GWO) using Time of Use (TOU) pricing scheme, to achieve an optimal balanced load and to minimize user comfort, then we compared the results of GWO and Bacterial Foraging Algorithm (BFA). The scheduling mechanism is capable of achieving the optimal operational time. Simulation results are presented to demonstrate the effectiveness of optimization techniques.


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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.COMSATS Institute of Information TechnologyIslamabadPakistan

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