Coordinated energy management for a cluster of buildings through deep reinforcement learning
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Coordinated energy management for a cluster of buildings through deep reinforcement learning
Authors
Keywords
Coordinated energy management, Deep reinforcement learning, Building energy flexibility, Peak demand reduction, Grid interaction
Journal
ENERGY
Volume 229, Issue -, Pages 120725
Publisher
Elsevier BV
Online
2021-04-27
DOI
10.1016/j.energy.2021.120725
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Reinforcement learning for building controls: The opportunities and challenges
- (2020) Zhe Wang et al. APPLIED ENERGY
- Deep reinforcement learning to optimise indoor temperature control and heating energy consumption in buildings
- (2020) Silvio Brandi et al. ENERGY AND BUILDINGS
- Towards a transactive energy system for integration of distributed energy resources: Home energy management, distributed optimal power flow, and peer-to-peer energy trading
- (2020) Jaysson Guerrero et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- A coordinated charging scheduling method for electric vehicles considering different charging demands
- (2020) Kaile Zhou et al. ENERGY
- Neighborhood-level coordination and negotiation techniques for managing demand-side flexibility in residential microgrids
- (2020) Maomao Hu et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Smart energy systems for sustainable smart cities: Current developments, trends and future directions
- (2019) Edward O’Dwyer et al. APPLIED ENERGY
- A hierarchical coordinated demand response control for buildings with improved performances at building group
- (2019) Pei Huang et al. APPLIED ENERGY
- A review of reinforcement learning for autonomous building energy management
- (2019) Karl Mason et al. COMPUTERS & ELECTRICAL ENGINEERING
- Hierarchical price coordination of heat pumps in a building network controlled using model predictive control
- (2019) Sebastian Gonzato et al. ENERGY AND BUILDINGS
- Energy management for user’s thermal and power needs: A survey
- (2019) Laura Fiorini et al. Energy Reports
- Fuzzy Q-Learning for multi-agent decentralized energy management in microgrids
- (2018) P. Kofinas et al. APPLIED ENERGY
- Model Predictive Control (MPC) for Enhancing Building and HVAC System Energy Efficiency: Problem Formulation, Applications and Opportunities
- (2018) Gianluca Serale et al. Energies
- Gigawatt-hour scale savings on a budget of zero: Deep reinforcement learning based optimal control of hot water systems
- (2018) Hussain Kazmi et al. ENERGY
- A comparative review of heating systems in EU countries, based on efficiency and fuel cost
- (2018) Georgios Martinopoulos et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Optimal decarbonization pathways for urban residential building energy services
- (2018) Benjamin D. Leibowicz et al. APPLIED ENERGY
- Reinforcement learning for demand response: A review of algorithms and modeling techniques
- (2018) José R. Vázquez-Canteli et al. APPLIED ENERGY
- Incentive-based demand response for smart grid with reinforcement learning and deep neural network
- (2018) Renzhi Lu et al. APPLIED ENERGY
- IEA EBC Annex 67 Energy Flexible Buildings
- (2017) Søren Østergaard Jensen et al. ENERGY AND BUILDINGS
- Residential Demand Response of Thermostatically Controlled Loads Using Batch Reinforcement Learning
- (2017) Frederik Ruelens et al. IEEE Transactions on Smart Grid
- Generalizable occupant-driven optimization model for domestic hot water production in NZEB
- (2016) H. Kazmi et al. APPLIED ENERGY
- Performance evaluation of conventional demand response at building-group-level under different electricity pricings
- (2016) Limei Shen et al. ENERGY AND BUILDINGS
- Coordinated energy management for inter-community imbalance minimization
- (2016) Rodrigo Verschae et al. RENEWABLE ENERGY
- Theory and applications of HVAC control systems – A review of model predictive control (MPC)
- (2013) Abdul Afram et al. BUILDING AND ENVIRONMENT
- Real-Time Power Balancing Via Decentralized Coordinated Home Energy Scheduling
- (2013) Tsung-Hui Chang et al. IEEE Transactions on Smart Grid
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started