Reference health

An Advanced Simulation Tool for Electricity Spot Market Using Agent-Based Model

https://doi.org/10.2139/ssrn.4102933
CiteStamped reference-health badge
20/20 checkable references clean · checked 2026-07-22

Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

14 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

The 20 checked references that resolve
resolves10.1109/TPWRS.2012.2217990
Short-term market power assessment in a long-term dynamic modeling of capacity investment
resolves10.1109/TPWRS.1986.4334986
Advances in Energy Management Systems
resolves10.1109/67.238204
Project planning for EMS and SCADA systems
resolves10.1109/TEVC.2005.850264
A Multiagent Model of the UK Market in Electricity Generation
resolves10.1109/59.898120
A security-constrained energy and spinning reserve markets clearing system using an interior-point method
resolves10.1109/TPWRS.2003.821005
Integrated Software Platform to Teach Different Electricity Spot Market Architectures
resolves10.1109/PESS.2000.867340
A simulation tool for evaluating technical and economical issues in the deregulated electric power industry
resolves10.1109/TPWRS.2020.2999536
Agent-Based Modeling in Electricity Market Using Deep Deterministic Policy Gradient Algorithm
resolves10.1109/TPWRS.2014.2335992
A Stochastic Multi-Layer Agent-Based Model to Study Electricity Market Participants Behavior
resolves10.1109/UPEC.2006.367743
Agent-Based Simulation of Short-Term Energy Markets for Highly Distributed Power Systems
resolves10.1109/EURCON.2005.1630243
Computer as thinking Agent: Modeling the European Power Markets using Agent-Based Simulation
resolves10.1109/MPOT.2016.2563179
Electricity Auction Simulation Platform for Learning Competitive Energy Markets
resolves10.1038/nature14236
Human-level control through deep reinforcement learning
resolves10.1109/TSG.2018.2879572
Model-Free Real-Time EV Charging Scheduling Based on Deep Reinforcement Learning
resolves10.1109/TSG.2019.2933191
Adaptive Power System Emergency Control Using Deep Reinforcement Learning
resolves10.1109/MPE.2021.3088959
Essential System Services Reform: Australian Market Design for Renewable-Dominated Grids
resolves10.1109/OAJPE.2021.3105097
Developing Robust Bidding Strategy for Virtual Bidders in Day-Ahead Electricity Markets
resolves10.1109/ACCESS.2021.3108629
Electricity Price Forecasting in European Day Ahead Markets: A Greedy Consideration of Market Integration
resolves10.1109/TSTE.2021.3087130
Real-Time Coordination of Transmission and Distribution Networks via Nash Bargaining Solution
resolves10.1109/TPWRS.2013.2287998
Absolute Value Constraint Based Method for Interval Optimization to SCED Model
The 14 references without a DOI — listed, not checked
no DOI — not checkedMulti-agent power market simulation using EMCAS
no DOI — not checkedModeling hydro power plants in deregulated electricity markets: Integration and application of EMCAS and VALORAGUA
no DOI — not checkedref7
no DOI — not checkedAn Agent-Based Computational Laboratory for Wholesale Power Market Design
no DOI — not checkedAgent-based price simulation of the dayahead-spot-market and markets for control reserve power
no DOI — not checkedUsing multiagent simulation to test European electricity markets
no DOI — not checkedModeling the electricity market as a complex adaptive system with an agent-based approach
no DOI — not checkedMultiagent-Based Energy Trading Platform for Energy Storage Systems in Distribution Systems With Interconnected Microgrids
no DOI — not checkedOptimization strategy based on deep reinforcement learning for home energy management
no DOI — not checkedDeep reinforcement learning for short-term voltage control by dynamic load shedding in china southem power grid
no DOI — not checkedNovel Hybrid Stochastic-Robust Optimal Trading Strategy for a Demand Response Aggregator in the Wholesale Electricity Market
no DOI — not checkedA Transactive Retail Market Mechanism for Active Distribution Network Integrated With Large-Scale Distributed Energy Resources
no DOI — not checkedMulti-Round Double Auction-Enabled Peer-to-Peer Energy Exchange in Active Distribution Networks
no DOI — not checkedDeep reinforcement learning with double Q-learning
What this badge says. CiteStamped means the CHECKABLE references of this work were clean at the dated check: each resolved to a known work in a public registry, and none carried a retraction notice at that time. It says nothing about the quality, findings, or importance of the work itself, and nothing about references deposited without a DOI.

checked 2026-07-22 — re-checked daily as this page is visited; titles and statuses come from Crossref and DataCite and are not part of the signed record

Embed this badge

Both snippets point at the live badge image and link back to this page. The badge re-renders from the daily check, so an embed never goes stale by more than a day of visits.

<a href="https://citestamp.com/citestamped/10.2139/ssrn.4102933"><img src="https://citestamp.com/citestamped/10.2139/ssrn.4102933/badge.svg" alt="CiteStamped reference-health badge" width="460" height="64"></a>
[![CiteStamped reference-health badge](https://citestamp.com/citestamped/10.2139/ssrn.4102933/badge.svg)](https://citestamp.com/citestamped/10.2139/ssrn.4102933)