Residential peak electricity demand response—Highlights of some behavioural issues

By S. Gyamfi, S. Krumdieck, T. Urmee. 2013

270 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/80c1ce119b25e0c98a4ba073ebcc871fc31be27b

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In Building and Construction

In Electrical and Electronic Engineering

In Renewable Energy, Sustainability and the Environment

Citations in the corpus

An overview of Demand Response: Key-elements and international experience (2017, background): “In the third category, Gyam ﬁ et al. examined a speci ﬁ c DR application area concerning residential end-users by reviewing the impacts of behavioural changes of di ﬀ erent residential end-user pro ﬁ les on the success of DR strategies [24].”
A Dynamic pricing demand response algorithm for smart grid: Reinforcement learning approach (2018, unknown): “The elasticity ξt values are shown in Table 3, derived from [48], with a differentiated response in off-/mid-/on-peak hours [47,45].”
Review and classification of barriers and enablers of demand response in the smart grid (2017, background): “…of social aspects to DR, especially for residential and small commercial consumers [8], the uncertainty on consumer preferences (which are often time-variant and inconsistent; i.e., economically irrational) has been highlighted as a particularly intractable barrier to exploitation of DR [23–25].”
What makes consumers adopt to innovative energy services in the energy market? A review of incentives and barriers (2016, background): “On the other hand, according to the other surveys, people on lower incomes are less willing to incur monetary costs and richer people are less willing to sacrifice living standards and comforts [44].”
From demand response to transactive energy: state of the art (2017, background): “Own price elasticity refers to the percentage change in electricity demand in response to a percentage change in price of that same time period [27].”