A summary of demand response in electricity markets

By Mohammed H. Albadi, Ehab F. El-Saadany. 2008

1,960 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/2bd1b22630e3e5f14da50fede1b62e2640e108a7

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In Electrical and Electronic Engineering

Citations in the corpus

Enterprise-wide optimization for industrial demand side management: Fundamentals, advances, and perspectives (2016, methodology): “Armentano et al. (2011) propose a similar tabu search algorithm and further incorporate a path relinking procedure, in which new solutions are generated by connecting high-quality solutions or solutions that exhibit contrasting features.”
Social implications of residential demand response in cool temperate climates (2012, background): “(g) Demand-side bidding involves contracting to offer specific reductions in demand at given times, in return for specified sums (Albadi and El-Saadany, 2008).”
Benefits and challenges of electrical demand response: A critical review (2014, background): “These early works in this area focus on the immediate impact of demand response, such as reduced consumer costs and the cost incurred to establish metering and communication infrastructures [12,13].”
Demand Response From Household Customers: Experiences From a Pilot Study in Norway (2011, background): “However, after restructuring and deregulation of the electricity industry, the new philosophy states that the system will be most efficient if the differences between peak and low load periods are kept as small as possible [6].”
The role of communication systems in smart grids: Architectures, technical solutions and research challenges (2013, background): “In the long term the expected potential benefits of DR would be to reduce overall electricity prices, and to significantly improve grid reliability and stability through a better spreading of electricity demands [79,81].”
Deep neural network based demand side short term load forecasting (2016, background): “In addition, DR is considered as one of the lease expensive resources available for operating the system according to the new paradigm under deregulation [4], and thus, forecasting the DR resource is important in the DR market.”
Artificial intelligence and machine learning approaches to energy demand-side response: A systematic review (2020, background): “controls (DLCs), interruptible tariffs, and demand-bidding programmes [28].”