Smart home energy management based on deep reinforcement learning technology

Smart home energy management based on deep reinforcement learning technology

This study framework designed to enhance home energy management systems (HEMS) in smart homes that incorporate renewable energy and electric vehicles (EVs). Leveraging real-world data within an advanced simulation platform, we delve into the interactions among diverse appliances, home batteries, pho...

Full description

Bibliographic Details
Main Author:	Sun, Xinghao
Other Authors:	Xu Yan
Format:	Thesis-Master by Coursework
Language:	English
Published:	Nanyang Technological University 2024
Subjects:	Engineering Smart home energy management system Deep reinforcement learning Deep Q network
Online Access:	https://hdl.handle.net/10356/175417

Similar Items

Optimization strategy based on deep reinforcement learning for home energy management
by: Liu, Yuankun, et al.
Published: (2021)

Knowledge Transfer for Deep Reinforcement Learning with Hierarchical Experience Replay
by: Yin, Haiyan, et al.
Published: (2017)

Goal modelling for deep reinforcement learning agents
by: Leung, Jonathan, et al.
Published: (2022)

Theory I: Why and When Can Deep Networks Avoid the Curse of Dimensionality?
by: Poggio, Tomaso, et al.
Published: (2016)

Deep reinforcement learning based airport departure metering
by: Ali, Hasnain, et al.
Published: (2021)

A deep reinforcement learning approach for runway configuration management: a case study for Philadelphia International Airport
by: Lam, Andy Jun Guang, et al.
Published: (2024)

Toward intelligent multizone thermal control with multiagent deep reinforcement learning
by: Li, Jie, et al.
Published: (2021)

Practical learning synergies between pushing and grasping based on DRL
by: Huang, Yuanning
Published: (2024)

Deep-attack over the deep reinforcement learning
by: Li, Yang, et al.
Published: (2022)

PIANO: influence maximization meets deep reinforcement learning
by: Li, Hui, et al.
Published: (2022)

NPE-DRL: enhancing perception constrained obstacle avoidance with non-expert policy guided reinforcement learning
by: Zhang, Yuhang, et al.
Published: (2024)

Deep reinforcement learning for autonomous cyber operation
by: Yong, Hou Zhong
Published: (2024)

Robust data-driven adversarial false data injection attack detection method with deep Q-network in power systems
by: Ran, Xiaohong, et al.
Published: (2024)

Toward collaborative multitarget search and navigation with attention-enhanced local observation
by: Xiao, Jiaping, et al.
Published: (2024)

Depth-based obstacle avoidance through deep reinforcement learning
by: Wu, Keyu, et al.
Published: (2020)

Autonomous agents in snake game via deep reinforcement learning
by: Wei, Zhepei, et al.
Published: (2019)

Visual navigation with multiple goals based on deep reinforcement learning
by: Rao, Zhenhuan, et al.
Published: (2022)

Probability-based energy reinforced management of electric vehicle aggregation in the electrical grid frequency regulation
by: Dong, Chaoyu, et al.
Published: (2021)

Financial portfolio optimization: an autoregressive deep reinforcement learning algorithm with learned intrinsic rewards
by: Lim, Magdalene Hui Qi
Published: (2024)

Applications of multi-agent reinforcement learning in future internet: a comprehensive survey
by: Li, Tianxu, et al.
Published: (2022)

Toward human-in-the-loop AI: enhancing deep reinforcement learning via real-time human guidance for autonomous driving
by: Wu, Jingda, et al.
Published: (2023)

Cost-efficient computation offloading in SAGIN: a deep reinforcement learning and perception-aided approach
by: Gao, Yulan, et al.
Published: (2024)

Learn to steer through deep reinforcement learning
by: Wu, Keyu, et al.
Published: (2019)

iTD3-CLN: learn to navigate in dynamic scene through Deep Reinforcement Learning
by: Jiang, Haoge, et al.
Published: (2022)

Deep learning based receiver for downlink NOMA system
by: Lim, Wei Kang
Published: (2024)

Transferable deep reinforcement learning framework for autonomous vehicles with joint radar-data communications
by: Nguyen, Quang Hieu, et al.
Published: (2023)

Development of a deep learning system for vision based robot control
by: Ahmed, Rashna Analia
Published: (2024)

Deep reinforcement learning for UAV routing in the presence of multiple charging stations
by: Fan, Mingfeng, et al.
Published: (2023)

Smart electronic applications with Google home
by: K A Abdul Hameed
Published: (2024)

Automatic voltage control of differential power grids based on transfer learning and deep reinforcement learning
by: Wang, Tianjing, et al.
Published: (2023)

Collaborative air-ground search with deep reinforcement learning
by: Lim, You Xuan
Published: (2024)

CR-DDPG: cache refreshing for MEC networks with DDPG
by: Maiti, Ritabrata, et al.
Published: (2024)

CRYOMOVE: cold chain real-time management of vaccine delivery using PCM and deep learning
by: Bhatt, Tapasvi, et al.
Published: (2024)

Which channel to ask my question? : personalized customer service request stream routing using deep reinforcement learning
by: Liu, Zining, et al.
Published: (2019)

Deep reinforcement learning for mobile 5g and beyond : fundamentals, applications, and challenges
by: Xiong, Zehui, et al.
Published: (2020)

Fingerprinting deep neural networks - a DeepFool approach
by: Wang, Si, et al.
Published: (2021)

Data-driven load frequency control for stochastic power systems : a deep reinforcement learning method with continuous action search
by: Yan, Ziming, et al.
Published: (2020)

Demystifying thermal comfort in smart buildings : an interpretable machine learning approach
by: Zhang, Wei, et al.
Published: (2021)

Ensemble learning of deep learning-based receiver for 5G communication system implementation
by: Xu, Ziang
Published: (2024)

A deep branching solver for fully nonlinear partial differential equations
by: Nguwi, Jiang Yu, et al.
Published: (2024)