Distributed decision-making in a shared power network: a game-theoretic framework for integrated electricity and gas systems. [PDF]
Huang J, Yu T, Pan Z, Wu Y.
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Neuromorphic energy economics: toward biologically inspired and sustainable power market design. [PDF]
Ye A, Xu D, Li Y, Du J, Wu Z, Tang J.
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Adaptive energy management in smart homes through fuzzy reinforcement learning and metaheuristic optimization algorithms to minimize costs. [PDF]
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Rheumatology 2050: How our specialty is changing. [PDF]
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Low-carbon optimal scheduling of integrated energy systems based on multi-strategy ameliorated goose algorithm and green certificate-carbon trading coordination. [PDF]
Ding C, Zhu Y.
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Algorithms & prices: how does algorithmic price discrimination affect welfare?
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Human-algorithm interaction: Algorithmic pricing in hybrid laboratory markets
European Economic Review, 2022This paper investigates pricing in laboratory markets when human players interact with an algorithm. We compare the degree of competition when exclusively humans interact to the case of one firm delegating its decisions to an algorithm, an n-player generalization of tit-for-tat.
Hans-Theo Normann, Martin Sternberg
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Dynamic pricing: ecommerce - oriented price setting algorithm
Proceedings of the 2003 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.03EX693), 2004Pricing in electronic commerce is based on bargaining. Pricing models that can fast change prices during transaction on the consequence of the buyer's needs is beneficial to electronic commerce. Demand sensitive model is one of the pricing models that can be used for fast changes of prices in electronic commerce.
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Competition in Pricing Algorithms
SSRN Electronic Journal, 2019We document new facts about pricing technology using high-frequency data, and we examine the implications for competition. Some online retailers employ technology that allows for more frequent price changes and automated responses to price changes by rivals.
Zach Y. Brown, Alexander MacKay
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