2022
DOI: 10.1016/j.epsr.2022.108059
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Market models and optimization techniques to support the decision-making on demand response for prosumers

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Cited by 17 publications
(2 citation statements)
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“…Due to the obvious peak and valley characteristics of customers' electricity consumption, the above game may not be able to utilize electricity efficiently, even if the Nash equilibrium is reached. The demand-side response is a better choice for the power seller to promote the rational use of electricity and gain additional revenue [42][43][44]. The authors of [45] reviewed the current optimal decision-making techniques applied in energy markets and proposed a market model based on the demand response of producers and sellers.…”
Section: Research On the Trading Model Of Each Subject In The Electri...mentioning
confidence: 99%
“…Due to the obvious peak and valley characteristics of customers' electricity consumption, the above game may not be able to utilize electricity efficiently, even if the Nash equilibrium is reached. The demand-side response is a better choice for the power seller to promote the rational use of electricity and gain additional revenue [42][43][44]. The authors of [45] reviewed the current optimal decision-making techniques applied in energy markets and proposed a market model based on the demand response of producers and sellers.…”
Section: Research On the Trading Model Of Each Subject In The Electri...mentioning
confidence: 99%
“…Today, in many places, consumers can make a choice and decide where to get their kilowatt-hours. Increasingly, consumers become prosumers, selling the excess of their electricity back to the grid (Kesting & Bliek 2013;Silva et al 2022) or showing other strong decentralization patterns, such as microgrids (Soshinskaya et al 2014;Warneryd et al 2020) or nano-grids (Burmester et al 2017). The main idea under these concepts is to reduce the long-distance transmission lines delivering power from large generators to consumers and put the production of the electricity closer to the point of use, increasing e ciency and creating a robust system by reducing the number and length of power outages (Cao et al 2016).…”
Section: Introductionmentioning
confidence: 99%