Modeling and energy dynamic control for a ZEH via hybrid model-based deep reinforcement learning
Published 2023 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Modeling and energy dynamic control for a ZEH via hybrid model-based deep reinforcement learning
Authors
Keywords
-
Journal
Energy
Volume 277, Issue -, Pages 127627
Publisher
Elsevier BV
Online
2023-04-27
DOI
10.1016/j.energy.2023.127627
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Hybrid control for combining model-based and model-free reinforcement learning
- (2022) Allison Pinosky et al. INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH
- Policy and management of carbon peaking and carbon neutrality: A literature review
- (2022) Yi-Ming Wei et al. Engineering
- Operational Performance and Load Flexibility Analysis of Japanese Zero Energy House
- (2021) Xiaoyi Zhang et al. International Journal of Environmental Research and Public Health
- A Deep Reinforcement Learning-Based Energy Management Strategy for Fuel Cell Hybrid Buses
- (2021) Chunhua Zheng et al. International Journal of Precision Engineering and Manufacturing-Green Technology
- Active Building demonstrators for a low-carbon future
- (2021) Joanna Clarke et al. Nature Energy
- Measured and modeled performance of internal mass as a thermal energy battery for energy flexible residential buildings
- (2019) Marta J.N. Oliveira Panão et al. APPLIED ENERGY
- Frequency control of air conditioners in response to real-time dynamic electricity prices in smart grids
- (2019) Maomao Hu et al. APPLIED ENERGY
- Energy optimization associated with thermal comfort and indoor air control via a deep reinforcement learning algorithm
- (2019) William Valladares et al. BUILDING AND ENVIRONMENT
- Flexible dispatch of a building energy system using building thermal storage and battery energy storage
- (2019) Jide Niu et al. APPLIED ENERGY
- Dynamic photovoltaic building envelopes for adaptive energy and comfort management
- (2019) Bratislav Svetozarevic et al. Nature Energy
- Potential of energy flexible buildings: Evaluation of DSM strategies using building thermal mass
- (2019) José Sánchez Ramos et al. ENERGY AND BUILDINGS
- Adaptively coordinated optimization of battery aging and energy management in plug-in hybrid electric buses
- (2019) Shuo Zhang et al. APPLIED ENERGY
- Modeling techniques used in building HVAC control systems: A review
- (2018) Zakia Afroz et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Scenarios of energy efficiency and CO2 emissions reduction potential in the buildings sector in China to year 2050
- (2018) Nan Zhou et al. Nature Energy
- IEA EBC Annex 67 Energy Flexible Buildings
- (2017) Søren Østergaard Jensen et al. ENERGY AND BUILDINGS
- Ten questions concerning model predictive control for energy efficient buildings
- (2016) M. Killian et al. BUILDING AND ENVIRONMENT
- Comparing the performance of on/off, PID and fuzzy controllers applied to the heating system of an energy-efficient building
- (2016) Giulia Ulpiani et al. ENERGY AND BUILDINGS
- Human-level control through deep reinforcement learning
- (2015) Volodymyr Mnih et al. NATURE
- An interactive building power demand management strategy for facilitating smart grid optimization
- (2013) Xue Xue et al. APPLIED ENERGY
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now