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Federated Reinforcement Learning for Energy Management of Multiple Smart Homes With Distributed Energy Resources

https://doi.org/10.1109/tii.2020.3035451
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Deep learning
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Distributed Optimization Framework for Energy Management of Multiple Smart Homes With Distributed Energy Resources
inferredcites →https://doi.org/10.1109/access.2019.2924110openalex-snapshot
Pricing-Based Demand Response for a Smart Home With Various Types of Household Appliances Considering Customer Satisfaction
inferredcites →https://doi.org/10.1109/access.2020.2974286openalex-snapshot
Demand Response Strategy Based on Reinforcement Learning and Fuzzy Reasoning for Home Energy Management
inferredcites →https://doi.org/10.1109/aike.2019.00031openalex-snapshot
Federated Reinforcement Learning for Fast Personalization
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Privacy-preserving deep learning
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Federated Learning in Mobile Edge Networks: A Comprehensive Survey
inferredcites →https://doi.org/10.1109/globecom38437.2019.9013587openalex-snapshot
Energy Demand Prediction with Federated Learning for Electric Vehicle Networks
inferredcites →https://doi.org/10.1109/icassp40776.2020.9053740openalex-snapshot
Age-Based Scheduling Policy for Federated Learning in Mobile Edge Networks
inferredcites →https://doi.org/10.1109/icc.2019.8761267openalex-snapshot
Towards Efficient and Privacy-Preserving Federated Deep Learning
inferredcites →https://doi.org/10.1109/icrera.2016.7884486openalex-snapshot
Big data issues in smart grid systems
inferredcites →https://doi.org/10.1109/jiot.2019.2957289openalex-snapshot
Deep Reinforcement Learning for Smart Home Energy Management
inferredcites →https://doi.org/10.1109/lra.2019.2931179openalex-snapshot
Lifelong Federated Reinforcement Learning: A Learning Architecture for Navigation in Cloud Robotic Systems
inferredcites →https://doi.org/10.1109/mnet.2019.1800286openalex-snapshot
In-Edge AI: Intelligentizing Mobile Edge Computing, Caching and Communication by Federated Learning
inferredcites →https://doi.org/10.1109/tcomm.2019.2944169openalex-snapshot
Scheduling Policies for Federated Learning in Wireless Networks
inferredcites →https://doi.org/10.1109/tsg.2014.2350831openalex-snapshot
Energy Management for Households With Solar Assisted Thermal Load Considering Renewable Energy and Price Uncertainty
inferredcites →https://doi.org/10.1109/tsg.2015.2512501openalex-snapshot
Coordinated Operation of a Neighborhood of Smart Households Comprising Electric Vehicles, Energy Storage and Distributed Generation
inferredcites →https://doi.org/10.1109/tsg.2018.2832621openalex-snapshot
Residential Energy Storage Management With Bidirectional Energy Control
inferredcites →https://doi.org/10.1109/tsg.2019.2909266openalex-snapshot
Demand Response for Home Energy Management Using Reinforcement Learning and Artificial Neural Network
inferredcites →https://doi.org/10.1109/tsg.2019.2915679openalex-snapshot
Optimal Home Energy Management System With Demand Charge Tariff and Appliance Operational Dependencies
inferredcites →https://doi.org/10.1109/tsg.2020.2971427openalex-snapshot
A Multi-Agent Reinforcement Learning-Based Data-Driven Method for Home Energy Management
inferredcites →https://doi.org/10.1109/tsg.2020.2978061openalex-snapshot
Real-Time Residential Demand Response
inferredcites →https://doi.org/10.1109/tste.2015.2467190openalex-snapshot
A Near-Optimal Model-Based Control Algorithm for Households Equipped With Residential Photovoltaic Power Generation and Energy Storage Systems
inferredcites →https://doi.org/10.1145/203330.203343openalex-snapshot
Temporal difference learning and TD-Gammon
inferredcites →https://doi.org/10.1145/2810103.2813687openalex-snapshot
Privacy-Preserving Deep Learning
inferredcites →https://doi.org/10.3233/icg-1995-18207openalex-snapshot
Temporal Difference Learning and TD-Gammon
inferredcites →https://doi.org/10.3390/s19183937openalex-snapshot
Reinforcement Learning-Based Energy Management of Smart Home with Rooftop Solar Photovoltaic System, Energy Storage System, and Home Appliances
inferredcites →https://doi.org/10.4230/oasics.dx.2026.15openalex-snapshot
AutoResearch Lite: a reproducible paper-inspired experiment runner (Adam mechanism reproduction and convergence-speed comparison)
inferredcites →https://doi.org/10.48550/arxiv.1412.6980openalex-snapshot
Adam: A Method for Stochastic Optimization
inferredcites →https://doi.org/10.48550/arxiv.1602.05629openalex-snapshot
Communication-Efficient Learning of Deep Networks from Decentralized Data
inferredcites →https://doi.org/10.48550/arxiv.1712.07557openalex-snapshot
Differentially Private Federated Learning: A Client Level Perspective
inferredcites →https://doi.org/10.48550/arxiv.1901.08277openalex-snapshot
Federated Deep Reinforcement Learning

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Multiagent Federated Reinforcement Learning for Secure Incentive Mechanism in Intelligent Cyber–Physical Systems
inferred← citeshttps://doi.org/10.1109/jiot.2023.3280361openalex-snapshot
Semisupervised Learning-Based Occupancy Estimation for Real-Time Energy Management Using Ambient Data
inferred← citeshttps://doi.org/10.1109/jiot.2023.3288050openalex-snapshot
Reinforcement Learning for Intelligent Healthcare Systems: A Review of Challenges, Applications, and Open Research Issues
inferred← citeshttps://doi.org/10.1109/jiot.2023.3288886openalex-snapshot
Privacy-Preserving Federated Learning Against Label-Flipping Attacks on Non-IID Data
inferred← citeshttps://doi.org/10.1109/jiot.2024.3367946openalex-snapshot
FedAPT: Joint Adaptive Parameter Freezing and Resource Allocation for Communication-Efficient Federated Vehicular Networks
inferred← citeshttps://doi.org/10.1109/jiot.2024.3416943openalex-snapshot
Optimizing Proximity Strategy for Federated Learning Node Selection in the Space-Air–Ground Information Network for Smart Cities
inferred← citeshttps://doi.org/10.1109/jiot.2024.3424188openalex-snapshot
Detection and Mitigation of Label-Flipping Attacks in FL Systems With KL Divergence
inferred← citeshttps://doi.org/10.1109/jiot.2025.3540299openalex-snapshot
Joint V2V Group Association and Transmission Power Control in Federated Vehicular Networks
inferred← citeshttps://doi.org/10.1109/jproc.2023.3303358openalex-snapshot
Deep Reinforcement Learning for Smart Grid Operations: Algorithms, Applications, and Prospects
inferred← citeshttps://doi.org/10.1109/jsac.2021.3087227openalex-snapshot
Scalable Orchestration of Service Function Chains in NFV-Enabled Networks: A Federated Reinforcement Learning Approach
inferred← citeshttps://doi.org/10.1109/jsac.2023.3310046openalex-snapshot
Digital Twin Enhanced Federated Reinforcement Learning With Lightweight Knowledge Distillation in Mobile Networks
inferred← citeshttps://doi.org/10.1109/jsen.2025.3586678openalex-snapshot
Empowering Vehicle Connectivity—The SOTA and Future Prospects of Reconfigurable Intelligent Surfaces in Mobile Communications: A Review
inferred← citeshttps://doi.org/10.1109/mpel.2025.3631578openalex-snapshot
Two Novel Energy Management Control Strategies for Distributed Energy Systems
inferred← citeshttps://doi.org/10.1109/ojcoms.2024.3449563openalex-snapshot
Federated Learning for Enhanced Cybersecurity and Trustworthiness in 5G and 6G Networks: A Comprehensive Survey
inferred← citeshttps://doi.org/10.1109/otcon65728.2025.11070814openalex-snapshot
Think Tank: A Home Appliance and Vehicle Repair Assistance Smartphone Application With Technician Hiring and Repair Schedule Booking Features
inferred← citeshttps://doi.org/10.1109/pesgm52003.2023.10252480openalex-snapshot
Enhancing Cyber Resilience of Networked Microgrids using Vertical Federated Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/pesgm52003.2023.10252702openalex-snapshot
AI-Based Estimation of Available Flexibility at Individual House Level
inferred← citeshttps://doi.org/10.1109/pimrc50174.2021.9569440openalex-snapshot
Communication-Aware Path Design for Indoor Robots Exploiting Federated Deep Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/powertech55446.2023.10202803openalex-snapshot
Consumer-Centric Home Energy Management System Using Trust Region Policy Optimization- Based Multi-Agent Deep Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/ricai60863.2023.10488950openalex-snapshot
Distributed Optimal Scheduling of Integrated Energy Systems Based on Federated Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/scems63294.2024.10756288openalex-snapshot
Using Deep Reinforcement Learning in Optimal Energy Management for Residential House Aggregators with Uncertain User Behaviors
inferred← citeshttps://doi.org/10.1109/spies55999.2022.10082013openalex-snapshot
An Improved DDQN Algorithm for Microgrid Energy Management with Strict Constraints
inferred← citeshttps://doi.org/10.1109/tai.2023.3262597openalex-snapshot
Blockchain and Federated Reinforcement Learning for Vehicle-to-Everything Energy Trading in Smart Grids
inferred← citeshttps://doi.org/10.1109/tase.2022.3221352openalex-snapshot
Federated Deep Reinforcement Learning for Task Scheduling in Heterogeneous Autonomous Robotic System
inferred← citeshttps://doi.org/10.1109/tce.2023.3345015openalex-snapshot
Energizing Charging Services for Next-Generation Consumers E-Mobility With Reinforcement Learning and Blockchain
inferred← citeshttps://doi.org/10.1109/tce.2025.3567316openalex-snapshot
Data Heterogeneity Challenge in Consumer Electronics: A Federated Learning Solution
inferred← citeshttps://doi.org/10.1109/tce.2025.3643134openalex-snapshot
Consumer-Centric Decentralized Federated Reinforcement Learning for Energy Scheduling in Community Integrated Energy System
inferred← citeshttps://doi.org/10.1109/tcomm.2023.3325905openalex-snapshot
DRL-Based Computation Rate Maximization for Wireless Powered Multi-AP Edge Computing
inferred← citeshttps://doi.org/10.1109/tcomm.2024.3412773openalex-snapshot
Information Timeliness Aware Multispectral Integrated Sensing, Communication, and Computing for High-Voltage Discharge Detection
inferred← citeshttps://doi.org/10.1109/tcss.2022.3204361openalex-snapshot
Privacy-Preserving Federated Learning for Value-Added Service Model in Advanced Metering Infrastructure
inferred← citeshttps://doi.org/10.1109/tgcn.2026.3735240openalex-snapshot
Securing FL-Enabled NWDAF in Private 5G Networks Against Hybrid Attacks
inferred← citeshttps://doi.org/10.1109/tia.2023.3328574openalex-snapshot
Uncertainty Aware Learning Model for Thermal Comfort in Smart Residential Buildings
inferred← citeshttps://doi.org/10.1109/tia.2024.3462668openalex-snapshot
Personalized Federated Learning With Cost-Oriented Load Forecasting for Home Energy Management Systems
inferred← citeshttps://doi.org/10.1109/tia.2025.3577145openalex-snapshot
Optimal Energy Management for Residential House Aggregators with Uncertain User Behaviors Using Deep Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/tia.2025.3618823openalex-snapshot
Multi-Agent Hierarchical Fuzzy Reinforcement Learning for Cooperative-Competitive Peer-to-Peer Energy Trading With Privacy Preservation
inferred← citeshttps://doi.org/10.1109/tii.2021.3098259openalex-snapshot
Privacy-Preserving Spatiotemporal Scenario Generation of Renewable Energies: A Federated Deep Generative Learning Approach
inferred← citeshttps://doi.org/10.1109/tii.2021.3105492openalex-snapshot
Joint Protection of Energy Security and Information Privacy for Energy Harvesting: An Incentive Federated Learning Approach
inferred← citeshttps://doi.org/10.1109/tii.2021.3113150openalex-snapshot
Table of Contents
inferred← citeshttps://doi.org/10.1109/tii.2021.3117861openalex-snapshot
Toward Fairness-Aware Time-Sensitive Asynchronous Federated Learning for Critical Energy Infrastructure
inferred← citeshttps://doi.org/10.1109/tii.2022.3148997openalex-snapshot
A Secure Cloudlet-Based Charging Station Recommendation for Electric Vehicles Empowered by Federated Learning
inferred← citeshttps://doi.org/10.1109/tii.2022.3183802openalex-snapshot
Reward Shaping-Based Actor–Critic Deep Reinforcement Learning for Residential Energy Management
inferred← citeshttps://doi.org/10.1109/tii.2022.3222369openalex-snapshot
R$^{2}$Fed: Resilient Reinforcement Federated Learning for Industrial Applications
inferred← citeshttps://doi.org/10.1109/tii.2023.3324939openalex-snapshot
A Hybrid Approach for Home Energy Management With Imitation Learning and Online Optimization
inferred← citeshttps://doi.org/10.1109/tii.2024.3424581openalex-snapshot
Privacy-Preserving Incipient Fault Identification in Distribution Networks Under Small Sample and Imbalanced Data Distribution Conditions
inferred← citeshttps://doi.org/10.1109/tii.2024.3431095openalex-snapshot
Deep Reinforcement Learning-Based Dynamic Reconfiguration Planning for Digital Twin-Driven Smart Manufacturing Systems With Reconfigurable Machine Tools
inferred← citeshttps://doi.org/10.1109/tii.2024.3523585openalex-snapshot
Deep Reinforcement Learning and Deadbeat Hybrid Control Method for Hybrid Energy Storage System Considering Nonlinear Power Loss and Model Mismatch
inferred← citeshttps://doi.org/10.1109/tii.2025.3620204openalex-snapshot
TD3MPC-Based Scheduling for Integrated Energy System Under Source–Load–Price Uncertainties
inferred← citeshttps://doi.org/10.1109/tii.2025.3636941openalex-snapshot
A Parallel PPO-Based Federated Transfer Reinforcement Learning Method for Multiple Home Energy Management via Cross-Domain Adaption
inferred← citeshttps://doi.org/10.1109/tiv.2024.3349655openalex-snapshot
FedAGL: A Communication-Efficient Federated Vehicular Network
inferred← citeshttps://doi.org/10.1109/tmc.2024.3480136openalex-snapshot
Accurate Prediction of Multi-Dimensional Required Resources in 5G via Federated Deep Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/tmc.2026.3674108openalex-snapshot
A Mixed DRL Framework for Computing Offloading and Resource Allocation in Digital Twin Assisted Wireless Powered MEC Network
inferred← citeshttps://doi.org/10.1109/tnnls.2022.3232630openalex-snapshot
Federated Multiagent Deep Reinforcement Learning Approach via Physics-Informed Reward for Multimicrogrid Energy Management
inferred← citeshttps://doi.org/10.1109/tnnls.2023.3332315openalex-snapshot
Federated Learning for Data Trading Portfolio Allocation With Autonomous Economic Agents
inferred← citeshttps://doi.org/10.1109/tnse.2022.3150182openalex-snapshot
Asynchronous Decentralized Federated Learning for Collaborative Fault Diagnosis of PV Stations
inferred← citeshttps://doi.org/10.1109/tpwrs.2023.3262843openalex-snapshot
Real-Time Sequential Security-Constrained Optimal Power Flow: A Hybrid Knowledge-Data-Driven Reinforcement Learning Approach
inferred← citeshttps://doi.org/10.1109/tpwrs.2023.3289334openalex-snapshot
Model-Free Economic Dispatch for Virtual Power Plants: An Adversarial Safe Reinforcement Learning Approach
inferred← citeshttps://doi.org/10.1109/tsg.2021.3066577openalex-snapshot
Electricity Consumer Characteristics Identification: A Federated Learning Approach
inferred← citeshttps://doi.org/10.1109/tsg.2021.3115904openalex-snapshot
A Privacy-Preserving Federated Learning Method for Probabilistic Community-Level Behind-the-Meter Solar Generation Disaggregation
inferred← citeshttps://doi.org/10.1109/tsg.2021.3125677openalex-snapshot
Privacy-Preserving Household Characteristic Identification With Federated Learning Method
inferred← citeshttps://doi.org/10.1109/tsg.2022.3146489openalex-snapshot
Federated Clustering for Electricity Consumption Pattern Extraction
inferred← citeshttps://doi.org/10.1109/tsg.2022.3169361openalex-snapshot
Federated Reinforcement Learning for Decentralized Voltage Control in Distribution Networks
inferred← citeshttps://doi.org/10.1109/tsg.2023.3251956openalex-snapshot
Multi-Residential Energy Scheduling Under Time-of-Use and Demand Charge Tariffs With Federated Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/tsg.2023.3310947openalex-snapshot
Distributed Energy Management of Multi-Entity Integrated Electricity and Heat Systems: A Review of Architectures, Optimization Algorithms, and Prospects
inferred← citeshttps://doi.org/10.1109/tsg.2023.3313771openalex-snapshot
Decentralized Privacy-Preserving Electricity Theft Detection for Distribution System Operators
inferred← citeshttps://doi.org/10.1109/tsg.2024.3366212openalex-snapshot
Customized Load Profiles Synthesis for Electricity Customers Based on Conditional Diffusion Models
inferred← citeshttps://doi.org/10.1109/tsg.2024.3466768openalex-snapshot
Resilient Control of Networked Microgrids Using Vertical Federated Reinforcement Learning: Designs and Real-Time Test-Bed Validations
inferred← citeshttps://doi.org/10.1109/tsg.2024.3482363openalex-snapshot
Lightweight Federated Learning for On-Device Non-Intrusive Load Monitoring
inferred← citeshttps://doi.org/10.1109/tsg.2024.3524756openalex-snapshot
Federated Accelerated Deep Reinforcement Learning for Multi-Zone HVAC Control in Commercial Buildings
inferred← citeshttps://doi.org/10.1109/tsg.2025.3549723openalex-snapshot
Industrial Energy Management and Production Decision Making via Lyapunov-Guided Learning
inferred← citeshttps://doi.org/10.1109/tsg.2025.3598438openalex-snapshot
EdgeHEM: Sparse Federated Reinforcement Learning for Home Energy Management at the Edge
inferred← citeshttps://doi.org/10.1109/tsg.2025.3625925openalex-snapshot
Generating Synthetic Net Load Data for Residential Customers With Physics-Informed Diffusion Models
inferred← citeshttps://doi.org/10.1109/tste.2022.3221081openalex-snapshot
Secure Multi-Party Household Load Scheduling Framework for Real-Time Demand-Side Management
inferred← citeshttps://doi.org/10.1109/tste.2025.3581286openalex-snapshot
Prototype Federated Reinforcement Learning for Voltage Regulation in Distribution Systems With Physics-Aware Spatial-Temporal Graph Perception
inferred← citeshttps://doi.org/10.1109/yac66630.2025.11149790openalex-snapshot
Safe Reinforcement Learning on Attitude Control of Launch Vehicles
inferred← citeshttps://doi.org/10.1109/yac66630.2025.11150174openalex-snapshot
Multi-microgrids Energy Management Based on Personalized Federated Reinforcement Learning
inferred← citeshttps://doi.org/10.1145/3538637.3538845openalex-snapshot
Federated office plug-load identification for building management systems
inferred← citeshttps://doi.org/10.1145/3575813.3597344openalex-snapshot
Energy vs Privacy: Estimating the Ecological Impact of Federated Learning
inferred← citeshttps://doi.org/10.1145/3579992openalex-snapshot
Wireless Powered Mobile Edge Computing Networks: A Survey
inferred← citeshttps://doi.org/10.1145/3605573.3605641openalex-snapshot
PFDRL: Personalized Federated Deep Reinforcement Learning for Residential Energy Management
inferred← citeshttps://doi.org/10.1145/3632775.3661945openalex-snapshot
Advancing Accuracy in Energy Forecasting using Mixture-of-Experts and Federated Learning
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