Demand Response From Household Customers: Experiences From a Pilot Study in Norway

By Hanne Sæle, Ove S. Grande. IEEE Transactions on Smart Grid, 2011

298 citations recorded by the source corpus.

Subfields: Building and Construction, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/6f9b11743314f3d686805057885c30b004fc45c7

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Citations in the corpus

Real-Time Price-Based Demand Response Management for Residential Appliances via Stochastic Optimization and Robust Optimization (2012, background): “Due to the potential benefits the real-time electricity pricing could bring to the demand side, consumers can optimally adjust their energy consumptions by participating into the demand response (DR) program for minimizing the electricity bill [1], [2].”
On demand: Can demand response live up to expectations in managing electricity systems? (2019, unknown): “Norway “MBDR project” [118] Norway trial 2007 40”
Review of demand response under smart grid paradigm (2011, methodology): “A state-queuing model of thermostatically controlled loads is presented to simulate the response of aggregated loads to the electricity prices in [64] Authors in [65] present experience on a pilot DR project implemented at Malvik Everk, a DSO in Central-Norway involving 40 household customers.”
Prosumer bidding and scheduling in electricity markets (2016, methodology): “For households we base our input on findings reported by Graabak and Feilberg [31], Ericson [32] and Sæle and Grande [33].”
A Survey on Demand Response Programs in Smart Grids: Pricing Methods and Optimization Algorithms (2015, background): “, [237]–[239]), is that the successfulness of a DR program is”
Smart Household Operation Considering Bi-Directional EV and ESS Utilization by Real-Time Pricing-Based DR (2015, background): “…states that the load consisting of the residential load (Pothert ), the charging needs of the EV (P EV,ch t ), and the ESS (PESS,cht ) is either satisfied by the grid (P grid t ) or by the combined procurement of energy by the PV, the ESS, and the EV (PPV,usedt , P EV,used t , and P ESS,used t ).”
Optimal scheduling of household appliances for demand response (2014, result): “Resdential demand response (RDR) has also contributed significantly o energy reduction, as has been proved by some experiments [4–6].”