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residential energy scheduling

Also known as: residential energy scheduling, residential load scheduling

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A comprehensive overview on demand side energy management ... link.springer.com Springer Mar 13, 2023 7 facts
referenceJavaid N, Ahmed F, Ullah I, Abid S, Abdul W, Alamri A, and Almogren AS published 'Towards cost and comfort based hybrid optimization for residential load scheduling in a smart grid' in 2017 in the journal Energies, volume 10, issue 10, page 1546.
referenceDu P and Lu N (2011) published 'Appliance commitment for household load scheduling' in IEEE Transactions on Smart Grid, volume 2, issue 2, pages 411–419.
referenceLiu D, Xu Y, Wei Q, and Liu X published 'Residential energy scheduling for variable weather solar energy based on adaptive dynamic programming' in the IEEE/CAA Journal of Automatica Sinica in 2017.
claimManzoor et al. (2017) introduced the teacher learning genetic optimization (TLGO) method and compared it to the teacher learning-based optimization (TLBO) and Genetic Algorithm (GA) for residential load scheduling with a day-ahead pricing scheme.
referenceAmini M, Frye J, Ilić MD, and Karabasoglu O presented the paper 'Smart residential energy scheduling utilizing two stage mixed integer linear programming' at the 2015 North American Power Symposium.
referenceJavaid et al. (2017a) proposed a hybrid optimization approach for residential load scheduling in smart grids that balances cost and comfort, published in Energies.
referenceLiu D, Xu Y, Wei Q, and Liu X (2017) proposed a residential energy scheduling method for variable weather solar energy based on adaptive dynamic programming, published in IEEE/CAA Journal of Automatica Sinica, 5(1):36–46.
Comprehensive framework for smart residential demand side ... nature.com Nature Mar 22, 2025 4 facts
claimThe problem of residential load scheduling is framed as an optimization problem focused on achieving cost-efficient energy consumption while ensuring operational stability, security, and high reliability.
procedureOptimizing residential load scheduling requires consideration of grid source availability, the cost of energy delivery, the utilization potential of renewable energy sources (RES) based on environmental conditions, the state of charge and energy delivery capability of storage systems, and the bidirectional energy flow from electric vehicles (EVs).
claimOptimizing residential load scheduling requires considering grid source availability, energy delivery costs, renewable energy source utilization potential based on environmental conditions, the state of charge of storage systems, and the bidirectional energy flow of electric vehicles.
procedureOptimizing residential load scheduling requires consideration of grid source availability, the cost of energy delivery, the utilization potential of renewable energy sources based on environmental conditions, the state of charge of storage systems, and the bidirectional energy flow from electric vehicles.