Rajasekhar, BatchuBatchuRajasekharPindoriya, Naran M.Naran M.Pindoriya2025-08-302025-08-302016-01-19[9781509012381]10.1109/ISGT-Asia.2015.73869842-s2.0-84964927949https://d8.irins.org/handle/IITG2025/21967In this paper, a multi-stage optimal scheduling and controlling approach has been studied which performs the scheduling of household appliances and management of local energy resources with respect to conflicting objectives. Firstly, a compromisation between computational complexity vs parameters uncertainty by considering multistage scheduling. Second, a choice for scheduling its shiftable appliances either by home energy management system (HEMS) or by coordinating/negotiating with aggregator for further benefit and overall peak reduction by decomposing this from its local energy resources management. Third, coordination between day-ahead scheduling and real-time demand response (DR) by considering time receding optimization of these strategies. Fourth, consideration of physical based load models for assessment of DR potential and actions. A typical home energy management problem is synthesized by assuming a rooftop solar PV, battery storage and ability to buy/sell electricity from/to aggregator. Simulation results shows that applied evolutionary techniques and the proposed strategy not only reduces energy consumption costs by responding to DR signals but also alleviates peak-to-average ratio and ensures the comfort preferences.falseAppliance scheduling optimization | demand response | distributed energy resources | home energy management system | real-time pricingConference Paper19 January 2016127386984cpConference Proceeding4