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Prosumer bidding and scheduling in electricity markets

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TLDR
In this paper, the authors propose short-term decision-support models for aggregators that sell electricity to prosumers and buy back surplus electricity, where the aggregator can control flexible energy units at the prosumers.
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This article is published in Energy.The article was published on 2016-01-01. It has received 141 citations till now. The article focuses on the topics: Bidding & Stochastic programming.

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Local electricity market designs for peer-to-peer trading: The role of battery flexibility

TL;DR: In this article, the authors investigate the contribution of batteries located at the customer level versus a central battery shared by the community in a small community in London, United Kingdom, and investigate the combined features of trade and flexibility from storage produce savings of up to 31% for the end-users.
Journal ArticleDOI

State of the Art of Machine Learning Models in Energy Systems, a Systematic Review

TL;DR: There is an outstanding rise in the accuracy, robustness, precision and generalization ability of the ML models in energy systems using hybrid ML models.
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Local Energy Markets: Paving the Path Toward Fully Transactive Energy Systems

TL;DR: In this paper, the authors evaluate a fully integrated transactive system by modeling the energy resource management problem of a microgrid under uncertainty considering flexible loads and market participation, and coupling these elements into an integrated trans-active energy simulation.
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Prosumer integration in wholesale electricity markets: Synergies of peer-to-peer trade and residential storage

TL;DR: In this article, the value of peer-to-peer trading in the integration of prosumers in the day-ahead and intraday markets and investigate how residential battery storage contributes to local demand side flexibility in an integrated market setting.
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Fair P2P energy trading between residential and commercial multi-energy systems enabling integrated demand-side management

TL;DR: Wang et al. as discussed by the authors proposed a trading aiding tool, which is based on a Nash-type non-cooperative game model between residential and commercial prosumers with guaranteed trading fairness.
References
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Book

Stochastic Programming

Peter Kall
Book

Stochastic programming

Journal ArticleDOI

Optimal Power Flow of Multiple Energy Carriers

TL;DR: In this article, the authors presented an approach for combined optimization of coupled power flows of different energy infrastructures such as electricity, gas, and district heating systems, which includes conversion and transmission of an arbitrary number of energy carriers.
Book

Modeling and Forecasting Electricity Loads and Prices: A Statistical Approach

Rafał Weron
TL;DR: In this paper, the authors present a case study of the electricity market in the UK and Australia, showing that electricity prices in both countries are correlated with the number of customers and the amount of electricity consumed.

Evaluation of scenario-generation methods for stochastic programming

TL;DR: This paper formulate minimal requirements that should be imposed on a scenario generation method before it can be used for solving the stochastic programming model and shows how the requirements can be tested.
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