Energy Services for Intelligent and Sustainable Buildings, Districts and Cities
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Energy Sustainability".
Deadline for manuscript submissions: closed (31 May 2021) | Viewed by 3422
Special Issue Editors
Interests: smart energy systems; modeling; optimization; cyber-physical systems; active consumer participation
Special Issue Information
Dear Colleagues,
The energy sector is the biggest greenhouse gas emitting sector in the world. To reduce greenhouse gas emissions from the energy sector, (i) the energy demand must decline, (ii) the efficiency of energy generation and distribution must improve, and (iii) the share of renewable energy must substantially increase. The emergence of smart systems, the omnipresent availability of data, and recent advances in modelling and optimization has led to completely new possibilities for various energy services. Energy services include a variety of activities, such as energy analysis and audits, energy management, project design and implementation, maintenance and operation, monitoring and evaluation of savings, property management, and energy and equipment supply.
This special issue aims to consolidate recent advances in the field of energy services for intelligent and sustainable buildings, districts and cities. Topics of interest for the special issue include (but are not limited to):
- Demand response
- Control (such as model predictive control and reinforcement learning)
- Peak load management
- Storage management
- Maintenance
- Fault detection
- Active consumer participation in smart energy systems
- Data-driven methods (for various energy services)
- Domain-aware machine learning (for various energy services)
- Modelling and simulation techniques (for various energy services)
- Co-simulation techniques (for various energy services)
- Results from pilot studies
- Internet of Things platforms for smart energy systems
Dr. Gerald Schweiger
Dr. Ján Drgoňa
Guest Editors
Manuscript Submission Information
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Keywords
- smart energy systems
- energy services
- modelling
- optimization
- artificial intelligence
- active consumer participation
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