2020
DOI: 10.1016/j.apenergy.2020.115866
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Adaptive bidding strategy for real-time energy management in multi-energy market enhanced by blockchain

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Cited by 37 publications
(9 citation statements)
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References 51 publications
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“…The blockchain can provide visibility and tracking to the market to determine whether a shipper, through crowdshipping or regular services should bid on taking materials from a sorting location to processing locations such as disassembly or shredding. Smart contracts may serve the role of managing a bidding system (e.g., [61,62]).…”
Section: Blockchain As a Marketplacementioning
confidence: 99%
“…The blockchain can provide visibility and tracking to the market to determine whether a shipper, through crowdshipping or regular services should bid on taking materials from a sorting location to processing locations such as disassembly or shredding. Smart contracts may serve the role of managing a bidding system (e.g., [61,62]).…”
Section: Blockchain As a Marketplacementioning
confidence: 99%
“…Real-time energy management has the potential to resolve the impact of various uncertainties in the energy market, provide instant energy balance and improve business returns. Wang et al [107] proposed a bidding strategy for the energy market, with multiple participants, which uses an adaptive learning process that incorporates a reserve price adjustment and a mechanism of dynamic compensation. Participants perform bid adjustments based on adaptive learning leveraging real-time market information to increase transaction rate and maximize profits.…”
Section: Blockchain For Smart Energy Managementmentioning
confidence: 99%
“…Different solutions have been proposed to build local energy markets and peer-to-peer grids. The proposed platforms may rely on several approaches, for example, game theoretical optimization processes (Zhao et al, 2019;Wen et al, 2021;Noor et al, 2018), market model optimization (Wang et al, 2021;Foti and Vavalis, 2019), multi-objective optimization (Tsao et al, 2021), hierarchical bidding and transaction structure (Yu et al, 2019), dynamic bidding strategy (Wang et al, 2020), ahead energy demand planning (Van Cutsem et al, 2020), or dynamic incentivization of optimized usage of energy (Yahaya et al, 2020).…”
Section: P2p and Local Energy Marketsmentioning
confidence: 99%