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A Comparative Analysis of Machine Learning Techniques for IoT Intrusion Detection.

, , , , and . FPS, volume 13291 of Lecture Notes in Computer Science, page 191-207. Springer, (2021)

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A multi-agent system for the support of producer coalition formation in electricity markets., , , , , and . SAC, page 78-79. ACM, (2008)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)MASCEM: Electricity Markets Simulation with Strategic Agents., , , and . IEEE Intelligent Systems, 26 (2): 9-17 (2011)Clustering-based negotiation profiles definition for local energy transactions., , , , and . SmartGridComm, page 1-5. IEEE, (2018)Day-ahead forecasting approach for energy consumption of an office building using support vector machines., , , and . SSCI, page 1620-1625. IEEE, (2018)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)SMS-I: Intelligent Security for Cyber-Physical Systems., , , , , and . Inf., 13 (9): 403 (2022)A context-based building security alarm through power and sensors analysis., , , and . Energy Inform., (2018)Adaptative Perturbation Patterns: Realistic Adversarial Learning for Robust Intrusion Detection., , and . CoRR, (2022)Learning Business Strategies for Competitive Electronic Marketplaces., , , and . AINA Workshops (2), page 611-616. IEEE Computer Society, (2007)