Demand Side Management in Smart Grid Using Heuristic Optimization

By Thillainathan Logenthiran, Dipti Srinivasan, Tanaka Shun. IEEE Transactions on Smart Grid, 2012

1,155 citations recorded by the source corpus.

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Bio-inspired computation: Where we stand and what's next (2019, background): “Many other fields such as intelligent transportation systems [399, 400, 401], automated manufacturing [402, 403, 404, 405] or energy systems and smart grids [406, 407, 408, 409] have also been bolstered by bio-inspired optimization methods.”
Multiagent System for Real-Time Operation of a Microgrid in Real-Time Digital Simulator (2012, neutral): “The proposed demand side management (DSM) technique [28] schedules connection moments of each shiftable device within the system in a way that brings the total load consumption curve as close as possible to the objective load consumption curve.”
A Survey on Demand Response Programs in Smart Grids: Pricing Methods and Optimization Algorithms (2015, background): “example, a heuristic-based evolutionary algorithm is proposed in [171], with primary objective to reduce the utility bills of consumers in residential, commercial and industrial areas.”
A review of electricity product differentiation (2014, background): “Advanced algorithms may improve the performance of an HEM [203,204].”
Demand side management of photovoltaic-battery hybrid system (2015, methodology): “A heuristic-based Evolutionary Algorithm was developed in smart grid for finding a generalized DSM strategy based on load shifting [42].”
Cloud Computing Applications for Smart Grid: A Survey (2015, methodology): “[73] proposed that the shift-able devices”