Deep Reinforcement Learning based Optimal Control of Hot Water Systems

[1]  José R. Vázquez-Canteli,et al.  Balancing comfort and energy consumption of a heat pump using batch reinforcement learning with fitted Q-iteration , 2017 .

[2]  Tianshu Wei,et al.  Deep reinforcement learning for building HVAC control , 2017, 2017 54th ACM/EDAC/IEEE Design Automation Conference (DAC).

[3]  Hussain Kazmi,et al.  Demonstrating model-based reinforcement learning for energy efficiency and demand response using hot water vessels in net-zero energy buildings , 2016, 2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe).

[4]  Chiara Delmastro,et al.  Generalizable occupant-driven optimization model for domestic hot water production in NZEB , 2016 .

[5]  Daša Majcen,et al.  Predicting energy consumption and savings in the housing stock: A performance gap analysis in the Netherlands , 2016 .

[6]  C. Rasmussen,et al.  Improving PILCO with Bayesian Neural Network Dynamics Models , 2016 .

[7]  Nathaniel S. Pearre,et al.  High resolution measured domestic hot water consumption of Canadian homes , 2015 .

[8]  相原 龍,et al.  Alternating Direction Method of Multipliersを用いた声質変換のためのパラレル辞書学習 , 2015 .

[9]  Ronnie Belmans,et al.  Learning Agent for a Heat-Pump Thermostat With a Set-Back Strategy Using Model-Free Reinforcement Learning , 2015, ArXiv.

[10]  Ronnie Belmans,et al.  Demand response of a heterogeneous cluster of electric water heaters using batch reinforcement learning , 2014, 2014 Power Systems Computation Conference.

[11]  Farrokh Janabi-Sharifi,et al.  Review of modeling methods for HVAC systems , 2014 .

[12]  Farrokh Janabi-Sharifi,et al.  Theory and applications of HVAC control systems – A review of model predictive control (MPC) , 2014 .

[13]  Arindam Banerjee,et al.  Bregman Alternating Direction Method of Multipliers , 2013, NIPS.

[14]  Koen Vanthournout,et al.  LINEAR breakthrough project: Large-scale implementation of smart grid technologies in distribution grids , 2012, 2012 3rd IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe).

[15]  Koen Vanthournout,et al.  A Smart Domestic Hot Water Buffer , 2012, IEEE Transactions on Smart Grid.

[16]  Peter Stone,et al.  TEXPLORE: real-time sample-efficient reinforcement learning for robots , 2012, Machine Learning.

[17]  Manfred Morari,et al.  Use of model predictive control and weather forecasts for energy efficient building climate control , 2012 .

[18]  Moritz Diehl,et al.  An optimal control algorithm for borehole thermal energy storage systems , 2011 .

[19]  Daniel Masa Bote,et al.  PV self-consumption optimization with storage and Active DSM for the residential sector , 2011 .

[20]  Carl E. Rasmussen,et al.  PILCO: A Model-Based and Data-Efficient Approach to Policy Search , 2011, ICML.

[21]  Wenming Yang,et al.  Advances in heat pump systems: A review , 2010 .

[22]  Neil Allan,et al.  Low-energy dwellings: the contribution of behaviours to actual performance , 2010 .

[23]  O. T. Masoso,et al.  The dark side of occupants’ behaviour on building energy use , 2010 .

[24]  Manuel López-Ibáñez,et al.  Ant colony optimization , 2010, GECCO '10.

[25]  Henk Visscher,et al.  The effect of occupancy and building characteristics on energy use for space and water heating in Dutch residential stock , 2009 .

[26]  H. Božić,et al.  Energy efficiency indicators , 2009 .

[27]  Viorel Badescu Optimal control of flow in solar collector systems with fully mixed water storage tanks , 2008 .

[28]  Luis Pérez-Lombard,et al.  A review on buildings energy consumption information , 2008 .

[29]  Xiaohua Xia,et al.  Best switching time of hot water cylinder-switched optimal control approach , 2007, AFRICON 2007.

[30]  V. Badescu Optimal control of flow in solar collectors for maximum exergy extraction , 2007 .

[31]  Stephen P. Boyd,et al.  Simultaneous routing and resource allocation via dual decomposition , 2004, IEEE Transactions on Communications.

[32]  R. Balian Entropy, a Protean Concept , 2004 .

[33]  J. Braun,et al.  Load Control Using Building Thermal Mass , 2003 .

[34]  Kalyanmoy Deb,et al.  Muiltiobjective Optimization Using Nondominated Sorting in Genetic Algorithms , 1994, Evolutionary Computation.

[35]  E. L. Lawler,et al.  Branch-and-Bound Methods: A Survey , 1966, Oper. Res..