Rough knowledge enhanced dueling deep Q-network for household integrated demand response optimization-Reference-Cited by-同舟云学术

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Rough knowledge enhanced dueling deep Q-network for household integrated demand response optimization

Published:2024-02 Issue: Volume:101 Page:105065
ISSN:2210-6707
Container-title:Sustainable Cities and Society
language:en
Short-container-title:Sustainable Cities and Society

Author:

Su Yongxin,Zhang Tao,Xu Mengyao,Tan Mao,Zhang Yuzhou,Wang Rui,Wang Ling

Publisher

Elsevier BV

Subject

Transportation,Renewable Energy, Sustainability and the Environment,Civil and Structural Engineering,Geography, Planning and Development

Reference34 articles.

1. A multi-objective optimization framework for dynamic planning of energy hub considering integrated demand response program;Ahmarinejad;Sustainable Cities and Society,2021

2. DRL-HEMS: Deep reinforcement learning agent for demand response in home energy management systems considering customers and operators perspectives;Amer;IEEE Transactions on Smart Grid,2023

3. Robust optimization of the flexibility-constrained energy management problem for a smart home with rooftop photovoltaic and an energy storage;Bahramara;Journal of Energy Storage,2021

4. Design of type-2 fuzzy logic controller in a smart home energy management system with a combination of renewable energy and an electric vehicle;Beheshtikhoo;Journal of Building Engineering,2023

5. Comparison of four rule-based demand response control algorithms in an electrically and heat pump-heated residential building;Behrang;Applied Energy,2018

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1. Energy management for scalable battery swapping stations: A deep reinforcement learning and mathematical optimization cascade approach;Applied Energy;2024-07

2. Integrating solar PV systems for energy efficiency in portable cabins: A case study in Kuwait;Solar Energy;2024-07

3. Climatic scenario-based integrated recurrent ensemble model for energy demand forecasting;Energy and Buildings;2024-05

4. Integrating Graph Signal Processing and Multitask Temporal Convolutional Networks for Household Nonintrusive Load Monitoring;IEEE Transactions on Instrumentation and Measurement;2024

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