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Automatic Electricity Markets Data Extraction for Realistic Multi-agent Simulations., , , , , , and . PAAMS, volume 8473 of Lecture Notes in Computer Science, page 371-374. Springer, (2014)A multi-agent system for the support of producer coalition formation in electricity markets., , , , , and . SAC, page 78-79. ACM, (2008)MASCEM: Electricity Markets Simulation with Strategic Agents., , , and . IEEE Intelligent Systems, 26 (2): 9-17 (2011)Strategic bidding in electricity markets: An agent-based simulator with game theory for scenario analysis., , , , and . Integr. Comput. Aided Eng., 20 (4): 335-346 (2013)Adaptative Perturbation Patterns: Realistic Adversarial Learning for Robust Intrusion Detection., , and . CoRR, (2022)SMS-I: Intelligent Security for Cyber-Physical Systems., , , , , and . Inf., 13 (9): 403 (2022)Day-ahead forecasting approach for energy consumption of an office building using support vector machines., , , and . SSCI, page 1620-1625. IEEE, (2018)Clustering-based negotiation profiles definition for local energy transactions., , , , and . SmartGridComm, page 1-5. IEEE, (2018)Unravelling Network-Based Intrusion Detection: A Neutrosophic Rule Mining and Optimization Framework., , , , , and . ESORICS Workshops (2), volume 14399 of Lecture Notes in Computer Science, page 59-75. Springer, (2023)Learning Business Strategies for Competitive Electronic Marketplaces., , , and . AINA Workshops (2), page 611-616. IEEE Computer Society, (2007)