concept

residential demand response

Facts (15)

Sources

A comprehensive overview on demand side energy management ... link.springer.com Springer Mar 13, 2023 12 facts

referenceWang and Paranjape (2015) proposed an optimal residential demand response framework for multiple heterogeneous homes using real-time price prediction in a multiagent system, published in IEEE Transactions on Smart Grid.

referenceGoubko MV, Kuznetsov SO, Neznanov AA, and Ignatov DI (2016) published 'Bayesian learning of consumer preferences for residential demand response' in IFAC-PapersOnLine, volume 49, issue 32, pages 24–29, which explores the use of Bayesian learning to understand consumer preferences in the context of residential demand response.

referenceGoubko MV, Kuznetsov SO, Neznanov AA, and Ignatov DI (2016) utilized Bayesian learning to model consumer preferences for residential demand response.

referenceZhou D, Balandat M, and Tomlin C published 'Residential demand response targeting using machine learning with observational data' at the 2016 IEEE 55th Conference on Decision and Control (CDC) in 2016.

referenceWang and Paranjape published the paper 'Optimal residential demand response for multiple heterogeneous homes with real-time price prediction in a multiagent framework' in IEEE Transactions on Smart Grid in 2015.

referencePal S and Kumar R presented the paper 'Price prediction techniques for residential demand response using support vector regression' at the 2016 IEEE 7th Power India International Conference (PIICON).

referencePal and Kumar (2016) utilized support vector regression as a technique for price prediction in residential demand response scenarios.

referenceGatsis and Giannakis (2011) presented algorithms and duality analysis for residential demand response involving interruptible tasks.

referenceGatsis N and Giannakis GB (2011) proposed duality and algorithms for residential demand response involving interruptible tasks.

referenceMuratori, Schuelke-Leech, and Rizzoni (2014) analyzed the role of residential demand response in modern electricity markets in Renewable and Sustainable Energy Reviews.

referenceO’Neill D, Levorato M, Goldsmith A, and Mitra U presented the paper 'Residential demand response using reinforcement learning' at the 2010 First IEEE International Conference on Smart Grid Communications.

referenceHaider HT, See OH, and Elmenreich W (2016) developed a residential demand response scheme based on adaptive consumption level pricing.

Comprehensive framework for smart residential demand side ... nature.com Nature Mar 22, 2025 3 facts

referenceMuratori and Rizzoni (2015) analyzed residential demand response, focusing on dynamic energy management and time-varying electricity pricing.

referenceMuratori and Rizzoni (2015) investigated residential demand response through the lens of dynamic energy management and time-varying electricity pricing.