Optimizing Resource Swap Functionality in IoE-Based Grids Using Approximate Reasoning Reward-Based Adjustable Deep Double Q-Learning
出版年份 2023 全文链接
标题
Optimizing Resource Swap Functionality in IoE-Based Grids Using Approximate Reasoning Reward-Based Adjustable Deep Double Q-Learning
作者
关键词
-
出版物
IEEE TRANSACTIONS ON CONSUMER ELECTRONICS
Volume 69, Issue 3, Pages 522-532
出版商
Institute of Electrical and Electronics Engineers (IEEE)
发表日期
2023-05-24
DOI
10.1109/tce.2023.3279138
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Cooperative Transmission Scheduling and Computation Offloading with Collaboration of Fog and Cloud for Industrial IoT Applications
- (2022) Abhishek Hazra et al. IEEE Internet of Things Journal
- Joint Beamforming, Power Allocation, and Splitting Control for SWIPT-Enabled IoT Networks with Deep Reinforcement Learning and Game Theory
- (2022) JainShing Liu et al. SENSORS
- Hybrid Energy Routing Approach for Energy Internet
- (2021) Sara Hebal et al. Energies
- Energy optimization and routing control strategy for energy router based multi-energy interconnected energy system
- (2021) Yunfei Du et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- Rule-based energy buffer strategy of energy router considering efficiency optimization
- (2020) Mingchao Xia et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- Optimal Energy Routing Design in Energy Internet with Multiple Energy Routing Centers Using Artificial Neural Network-Based Reinforcement Learning Method
- (2019) Dan-Lu Wang et al. Applied Sciences-Basel
- The Small-Signal Stability Analysis of the Droop-Controlled Converter in Electromagnetic Timescale
- (2019) Rui Wang et al. IEEE Transactions on Sustainable Energy
- A Multistage Game in Smart Grid Security: A Reinforcement Learning Solution
- (2019) Zhen Ni et al. IEEE Transactions on Neural Networks and Learning Systems
- Optimal Energy Routing in Microgrids With IEC 61850 Based Energy Routers
- (2019) S. M. Suhail Hussain et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Reinforcement Learning Approach for Optimal Distributed Energy Management in a Microgrid
- (2018) Elham Foruzan et al. IEEE TRANSACTIONS ON POWER SYSTEMS
- A Biased Min-Consensus-Based Approach for Optimal Power Transaction in Multi-Energy-Router Systems
- (2018) Xiaoying Shi et al. IEEE Transactions on Sustainable Energy
- Interconnecting Microgrids via the Energy Router with Smart Energy Management
- (2017) et al. Energies
- Residential Demand Response for Renewable Energy Resources in Smart Grid Systems
- (2017) Laihyuk Park et al. IEEE Transactions on Industrial Informatics
- A Graph Theory Based Energy Routing Algorithm in Energy Local Area Network
- (2017) Ruichi Wang et al. IEEE Transactions on Industrial Informatics
- Echo state network-based Q-learning method for optimal battery control of offices combined with renewable energy
- (2017) Guang Shi et al. IET Control Theory and Applications
- Coordinated Control of the Energy Router-Based Smart Home Energy Management System
- (2017) Yingshu Liu et al. Applied Sciences-Basel
- Optimal Placement of Energy Storage Devices in Microgrids via Structure Preserving Energy Function
- (2016) Qiuye Sun et al. IEEE Transactions on Industrial Informatics
- Deploying Energy Routers in an Energy Internet Based on Electric Vehicles
- (2016) Ping Yi et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- Coordinated Operation of a Neighborhood of Smart Households Comprising Electric Vehicles, Energy Storage and Distributed Generation
- (2016) Nikolaos G. Paterakis et al. IEEE Transactions on Smart Grid
Become a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get StartedAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started