Demand Side Management: Demand Response, Intelligent Energy Systems, and Smart Loads

By Peter Palensky, D. Dietrich. IEEE Transactions on Industrial Informatics, 2011

2,904 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/63a63e150a416f1be0e1f3e2c8223aac3b66fe64

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In Control and Systems Engineering

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Citations in the corpus

A Survey on Smart Grid Potential Applications and Communication Requirements (2013, background): “sponse system, which is an open-source reference implementation of a distributed and client-server demand response infrastructure [31].”
Energy Sharing Management for Microgrids With PV Prosumers: A Stackelberg Game Approach (2017, background): “Assuming that the consumers and supplier are rational, they will response to a dynamical price such that their respective benefits are maximized [14].”
Energy Collectives: A Community and Fairness Based Approach to Future Electricity Markets (2019, background): “Demand Side Management (DSM) benefits have been largely investigated in the past [2].”
A Survey on Demand Response in Smart Grids: Mathematical Models and Approaches (2015, background): “It can be defined as the rescheduling of the users’ energy usage patterns in response to the variance of the power utility’s incentive or electricity price, which is designed to reduce the demand at peak time periods or during system contingencies [8]–[10].”
Business models for distributed energy resources: A review and empirical analysis (2017, background): “Business models for demand response and energy management systems have received increasing attention in recent years [21,31].”
Energy Management and Optimization Methods for Grid Energy Storage Systems (2018, background): “The goal of the EMS is to minimize the electricity bill or to maximize the grid benefit [142], [208]–[211].”
Local flexibility markets: Literature review on concepts, models and clearing methods (2020, background): “Two ANM techniques, i.e., dynamic line rating and DSM, were evaluated in [97] for congestion management of a distribution system from the DSO perspective.”
A model of energy management analysis, case study of a sugar factory in Turkey (2018, background): “Palensky and Dietrich [1] defined energy management as a means to optimise the energy system.”
A review of Internet of Things for smart home: Challenges and solutions (2017, background): “On the other side, there are plenty of existing commercial solutions and advanced Demand Side Management (DSM) systems focused on large industrial consumers (Finn and Fitzpatrick, 2014; Palensky and Dietrich, 2011).”
Smart Electricity Meter Data Intelligence for Future Energy Systems: A Survey (2016, background): “In combination, these activities have been called demand side management (DSM) which is essential to really benefit consumers [20].”
Artificial intelligence and machine learning approaches to energy demand-side response: A systematic review (2020, background): “Energy demand response in broad terms can be considered as one of the mechanisms within demand side management [25] and possible with ongoing smart grid activities.”
Smart Grid Technologies: Communication Technologies and Standards (2011, neutral): “[8], [9].”
Business model innovation in electricity supply markets: The role of complex value in the United Kingdom (2016, background): “The emergence of smart technologies and distributed generation create additional value propositions that may be best captured by local supply enterprises; such as demand response, and smart loads (Pudjianto et al., 2013; Ceseña et al., 2015; Oren, 2013; Palensky and Dietrich, 2011).”
A Survey on Demand Response Programs in Smart Grids: Pricing Methods and Optimization Algorithms (2015, background): “The Direct Load Control (DLC) is a classical program, and it enables the power utility to remotely cycle or turn off consumers' electrical equipment [5].”