concept

load shifting

Also known as: LS, load shifting technique

Facts (22)

Sources

Comprehensive framework for smart residential demand side ... nature.com Nature Mar 22, 2025 13 facts

claimIntegrating electric vehicles (EVs) into Residential Demand Side Management (RDSM) improves grid stability, minimizes the need for additional generation capacity, and maximizes the utilization of existing resources through load shifting and optimization.

claimProsumers (smart users) utilize Residential Energy Management (REM) architectures, such as the Salp Swarm Algorithm (SSA) and the Binary Whale Optimization Algorithm (BWOA), to facilitate load shifting and efficient energy scheduling.

procedureThe Smart Scheduler framework employs peak shaving (PS) and load shifting (LS) as fundamental Demand Side Management (DSM) techniques, prioritizing shiftable appliances based on Time-of-Use (ToU) pricing to minimize energy consumption during peak hours.

claimElectric vehicle owners participating in residential demand-side management (RDSM) initiatives contribute to grid support services, including load shifting, peak shaving, and emergency power supply.

claimIn the current smart and microgrid scenario, Residential Demand Side Management (RDSM) strategies must account for multi-consumption level pricing schemes, incentives for load shifting, consumer priorities, and uncertain load demand variations.

claimKey objectives for Residential Demand Side Management (RDSM) include economic energy utilization, optimizing resource use during peak and off-peak conditions, shifting loads to off-peak periods, managing uncertain load demand variations, and responding to price incentives and consumption priorities.

claimIn the current smart and microgrid scenario, it is necessary to adopt strategies for energy consumption patterns in Residential Demand Side Management (RDSM) that consider multi-consumption level pricing schemes, incentives for load shifting, consumer priorities, and uncertain load demand variations.

procedureThe Smart Scheduler (SS) framework employs peak shaving (PS) and load shifting (LS) as fundamental Demand-Side Management (DSM) techniques, prioritizing shiftable appliances based on Time-of-Use (ToU) pricing to minimize energy consumption during peak hours.

claimThe Smart Scheduler framework employs peak shaving (PS) and load shifting (LS) as fundamental Demand Side Management (DSM) techniques.

claimThe Beluga Whale Optimization Algorithm (BWOA) utilizes dynamic adjustment mechanisms to adapt to varying environmental conditions, which aids in minimizing electricity costs, achieving smooth load shifting, and maintaining grid stability.

claimKey objectives for Residential Demand Side Management (RDSM) include economic energy utilization, optimizing resource use during peak and off-peak conditions, shifting loads to off-peak times, managing uncertain load demand, and responding to price incentives and consumption priorities.

claimElectric Vehicle (EV) participation in Residential Demand Side Management (RDSM) provides grid support services, including load shifting, peak shaving, and emergency power supply, which helps balance supply and demand, improves grid resilience, and integrates renewable energy sources.

claimElectric vehicles acting as loads can perform load shifting during off-peak periods, which flattens the demand curve and reduces energy demand during peak hours.

A comprehensive overview on demand side energy management ... link.springer.com Springer Mar 13, 2023 8 facts

claimLoad shifting is a Demand Side Management strategy that involves moving energy demand from peak hours to off-peak hours by applying filling and clipping strategies. This method utilizes Time-of-Use (TOU) pricing and storage devices to maintain a constant level of total energy consumption, as described by Chokpanyasuwan et al. (2015).

referenceDemand Side Management (DSM) techniques for load shaping include peak clipping, valley filling, load shifting, strategy conservation, strategic load growth, and variable load shape, as identified by Macedo et al. (2015).

claimLoad shifting involves moving demand from peak hours to off-peak hours by applying filling and clipping strategies, utilizing Time-of-Use (TOU) pricing and storage devices to maintain a constant level of total energy consumption.

referenceSharda et al. (2021) reviewed demand-side management through load shifting in IoT-based home energy management systems, covering challenges and opportunities, published in Sustainable Cities and Society, 65:102517.

referenceDemand Side Management (DSM) techniques for load shaping include peak clipping, valley filling, load shifting, strategic conservation, strategic load growth, and flexible load shape, as categorized by Macedo et al. (2015).

referenceChokpanyasuwan C, Bunnag T, and Prommas R (2015) published 'Ant colony optimization for load management based on load shifting in the textile industry' in the American Journal of Applied Sciences, volume 12, issue 2, page 142.

claimBharathi et al. (2017) recommend combining Genetic Algorithms (GA) with load shifting techniques to reduce and reconfigure the load requirements of energy consumers.

referenceTasdighi et al. (2013) define the balance between electricity supply and demand at any given hour by accounting for power from batteries, the grid, load shifting, and both shiftable and non-shiftable load demands.

Demand side management using optimization strategies for efficient ... journals.plos.org PLOS ONE Mar 21, 2024 1 fact

procedureLoad clipping and load shifting strategies for energy management were developed and simulated using MATLAB/Simulink, with further optimization performed by an Artificial Neural Network (ANN) algorithm.