2018 IEEE International Energy Conference (ENERGYCON) 2018
DOI: 10.1109/energycon.2018.8398843
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A novel pricing scheme for virtual communities towards energy Efficiency

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Cited by 4 publications
(2 citation statements)
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“…In the context of SOCIALENERGY [6,7], we focus on the development of innovative business models for ESPs and their automated and optimal operation through an ICT platform [8]. In our previous work, we exploit communities of end users and their social interaction [9,10] in order to trigger behavioral changes in energy consumption. Incentivized from all the above and by evolving the logic and the architecture of the recent pricing schemes found in the literature, this paper presents: 1) A novel pricing scheme architecture, referred to as flexibility real-time pricing (FRTP), which allows progressive ESPs to simultaneously participate in multiple energy markets e.g.…”
Section: Introductionmentioning
confidence: 99%
“…In the context of SOCIALENERGY [6,7], we focus on the development of innovative business models for ESPs and their automated and optimal operation through an ICT platform [8]. In our previous work, we exploit communities of end users and their social interaction [9,10] in order to trigger behavioral changes in energy consumption. Incentivized from all the above and by evolving the logic and the architecture of the recent pricing schemes found in the literature, this paper presents: 1) A novel pricing scheme architecture, referred to as flexibility real-time pricing (FRTP), which allows progressive ESPs to simultaneously participate in multiple energy markets e.g.…”
Section: Introductionmentioning
confidence: 99%
“…A market-clearing pricing approach brings the system to competitive equilibrium via an iterative best-response process, and the final allocation maximizes the social welfare. However, as described above, in many use cases (such as emerging local energy communities [MAKR18], [MAMO18] islanded micro-grids, etc) the price-taking assumption no longer holds and the efficiency of these mechanisms is compromised [JOHA05]. In mechanism design terms, the mechanisms of the first two categories are not incentive compatible, because a strategic user can benefit by manipulating his/her responses.…”
Section: Related Workmentioning
confidence: 99%