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Energy Management Strategy for Smart Homes Based on Deep Reinforcement Learning
19/19 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.
18 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 19 checked references that resolve
resolves10.1016/j.jprocont.2016.09.009
Effects of dead-band and set-point settings of on/off controllers on the energy consumption and equipment switching frequency of a residential HVAC system
resolves10.1109/ACCESS.2020.3005244
Home Energy Management System Concepts, Configurations, and Technologies for the Smart Grid
resolves10.1016/j.solener.2016.03.055
Thermal–electrical model for energy estimation of a water cooled photovoltaic module
resolves10.1016/j.applthermaleng.2011.06.021
Comparative experiment study on photovoltaic and thermal solar system under natural circulation of water
resolves10.1016/j.enconman.2013.11.017
Performance analysis of photovoltaic thermal (PVT) water collectors
resolves10.1109/TSG.2020.2976771
Model-Free Real-Time Autonomous Control for a Residential Multi-Energy System Using Deep Reinforcement Learning
resolves10.1016/j.jclepro.2018.05.103
Stochastic multi-objective energy management in residential microgrids with combined cooling, heating, and power units considering battery energy storage systems and plug-in hybrid electric vehicles
resolves10.1109/TSG.2016.2606442
Stochastic Optimal Energy Management of Smart Home With PEV Energy Storage
resolves10.1109/TSG.2016.2564159
A Robust Optimization Approach for Demand Side Scheduling Considering Uncertainty of Manually Operated Appliances
resolves10.1016/j.buildenv.2019.03.038
Energy optimization associated with thermal comfort and indoor air control via a deep reinforcement learning algorithm
resolves10.1109/TGCN.2021.3073979
Integrating Future Smart Home Operation Platform With Demand Side Management via Deep Reinforcement Learning
resolves10.3390/en9050381
An Event-Triggered Online Energy Management Algorithm of Smart Home: Lyapunov Optimization Approach
resolves10.1109/TPWRS.2013.2242702
Distributed Optimal Dispatch of Virtual Power Plant via Limited Communication
resolves10.1109/TSG.2015.2445794
Distributed Real-Time Power Balancing in Renewable-Integrated Power Grids With Storage and Flexible Loads
resolves10.1016/j.apenergy.2018.11.077
A hybrid building thermal modeling approach for predicting temperatures in typical, detached, two-story houses
The 18 references without a DOI — listed, not checked
no DOI — not checkedref1
no DOI — not checkedref3
no DOI — not checkedGeneralization ability of hybrid electric vehicle energy management strategy based on reinforcement learning method
no DOI — not checkedOptimal energy management for multi-energy multi-microgrid networks considering carbon emission limitations
no DOI — not checkedEfficient and autonomous energy management techniques for the future smart homes
no DOI — not checkedDeep reinforcement learning-based approach for optimizing energy conversion in integrated electrical and heating system with renewable energy
no DOI — not checkedIntelligent multi-zone residential HVAC control strategy based on deep reinforcement learning
no DOI — not checkedA Comparison Study on Stochastic Modeling Methods for Home Energy Management Systems
no DOI — not checkedOptimization strategy based on deep reinforcement learning for home energy management
no DOI — not checkedA deep reinforcement learning approach to using whole building energy model for HVAC optimal control
no DOI — not checkedMulti-Agent Deep Reinforcement Learning for HVAC Control in Commercial Buildings
no DOI — not checkedDistributed Robust Energy Management of a Multi-Microgrid System in the Real-Time Energy Market
no DOI — not checkedref29
no DOI — not checkedCoordination of commercial prosumers with distributed demandside flexibility in energy sharing and management system
no DOI — not checkedref34
no DOI — not checkedref35
no DOI — not checkedref36
no DOI — not checkedDeep reinforcement learning for building HVAC control
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