Demand Response in Smart Homes
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "G: Energy and Buildings".
Deadline for manuscript submissions: closed (30 April 2022) | Viewed by 17761
Special Issue Editors
Interests: complex system modeling and simulation; software agent system modeling; optimization in home energy systems; renewable energy integration in home energy systems; impacts of EVs on energy distribution; smart meters for residential demand response
Interests: computational methods for smart grids; demand response; simulation and modeling optimal control of electricity usage; vehicle-to-grid systems (V2G); renewable energy integration; solar/wind power; optimization theory and applications; multi-agent systems
Special Issue Information
Dear Colleagues,
We are excited to invite full paper submissions for a Special Issue on “Demand Response in Smart Homes”. As you are aware, demand response has been one of the most important mechanisms instigated by power utilities for controlling peak usage and generation costs. While the concepts of demand response remain the same for residential users, there are a number of key characteristics that make this problem domain unique, including the integration of multiple households into cohesive energy user blocks, user needs being driven by both inflexible and flexible demands, the advent of new power sinks such as electric vehicles and home battery banks, and the incorporation of new home-based energy sources such as solar, wind, and geothermal. With all these disparate forces to manage, a comprehensive home demand response methodology is called for. We request researchers worldwide to come together in this Special Issue with their best ideas to help formulate this new paradigm.
The topics of interest for publication include, but are not limited to:
- Demand response and demand side management;
- Smart home technologies;
- Electric vehicle charging/discharging control;
- Vehicle-to-grid applications;
- Home energy storage;
- Geothermal energy in smart homes;
- Machine learning for load disaggregation and classification;
- Smart load aggregation/control algorithms;
- Roof-top solar energy prediction;
- Hybrid systems for the integration of solar energy, energy storage, thermal energy, demand flexibility, and electric vehicles;
- Dynamic electricity tariffs and incentive mechanisms for demand response programs;
- Mechanisms for smart homes or aggregators to participate in electricity markets.
Prof. Dr. Raman B. Paranjape
Dr. Zhanle Wang
Guest Editors
Manuscript Submission Information
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Keywords
- Demand response
- Demand side management with smart meters
- Smart homes and buildings
- Smart grid
- Active consumers
- Prosumers
- Elastic demand
- Load flexibility, forecasting, aggregation and disaggregation
- Distributed energy resources
- Battery systems
- Energy storage systems
- Electricity market
- Electric vehicles
- Renewable energy
- Home islanding
- Transactive energy
- Energy management and tariffs
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