An agent-based distributed real-time optimal control strategy for building HVAC systems for applications in the context of future IoT-based smart sensor networks
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[1] James E. Braun,et al. A general multi-agent control approach for building energy system optimization , 2016 .
[2] Yonina C. Eldar,et al. Convex Optimization in Signal Processing and Communications , 2009 .
[3] Daniel Pérez Palomar,et al. A tutorial on decomposition methods for network utility maximization , 2006, IEEE Journal on Selected Areas in Communications.
[4] Chenli Wang,et al. Energy saving impact of occupancy-driven thermostat for residential buildings , 2020 .
[5] Lingfeng Wang,et al. Multi-agent control system with information fusion based comfort model for smart buildings , 2012 .
[6] Lingfeng Wang,et al. Development of multi-agent system for building energy and comfort management based on occupant behaviors , 2013 .
[7] Hamed Nabizadeh Rafsanjani,et al. iSEA: IoT-based smartphone energy assistant for prompting energy-aware behaviors in commercial buildings , 2020, Applied Energy.
[8] Dirk Müller,et al. Energy-efficient HVAC management using cooperative, self-trained, control agents: A real-life German building case study , 2018 .
[9] Stephen Treado,et al. A review of multi-agent systems concepts and research related to building HVAC control , 2016 .
[10] Hani Hagras,et al. A hierarchical fuzzy-genetic multi-agent architecture for intelligent buildings online learning, adaptation and control , 2003, Inf. Sci..
[11] Shiqiang Wang,et al. A decentralized, model-free, global optimization method for energy saving in heating, ventilation and air conditioning systems , 2020, Building Services Engineering Research and Technology.
[12] Zhenjun Ma,et al. An optimal control strategy for complex building central chilled water systems for practical and real-time applications , 2009 .
[13] Stephen P. Boyd,et al. Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.
[14] Zhenjun Ma,et al. Supervisory and Optimal Control of Building HVAC Systems: A Review , 2008 .
[15] Kameshwar Poolla,et al. An internet of things upgrade for smart and scalable heating, ventilation and air-conditioning control in commercial buildings , 2019, Applied Energy.
[16] Dirk Müller,et al. A Modelica library for the agent-based control of building energy systems , 2017 .
[17] Saifur Rahman,et al. An algorithm for optimal management of aggregated HVAC power demand using smart thermostats , 2018 .
[18] Steven T. Bushby,et al. Are intelligent agents the key to optimizing building HVAC system performance? , 2012, HVAC&R Research.
[19] Michael Schumacher. Objective Coordination in Multi-Agent System Engineering: Design and Implementation , 2001 .
[20] Mariagrazia Dotoli,et al. IoT Based Architecture for Model Predictive Control of HVAC Systems in Smart Buildings , 2020, Sensors.
[21] Costas J. Spanos,et al. A deep learning and gamification approach to improving human-building interaction and energy efficiency in smart infrastructure , 2019, Applied Energy.
[22] Shengwei Wang,et al. Model-based optimal control of VAV air-conditioning system using genetic algorithm , 2000 .
[23] Nicholas R. Jennings,et al. Intelligent agents: theory and practice , 1995, The Knowledge Engineering Review.
[24] Lihua Xie,et al. HVAC system optimization—in-building section , 2005 .
[25] Milind Tambe,et al. Coordinating occupant behavior for building energy and comfort management using multi-agent systems , 2012 .