About this Research Topic
The main objectives of this research topic are:
1. Bridge the application gap in demand response methodologies to enhance grid efficiency and sustainability.
2. Explore innovative strategies for demand response that support the transition to low-carbon energy systems.
3. Examine policy, market, and technological advancements in demand response to improve energy system resilience.
4. Foster the development of demand response mechanisms that can adapt to dynamic market conditions and energy landscapes.
5. Promote research on artificial intelligence and dynamic pricing models to improve demand response effectiveness.
6. Guide strategic directions for smart grid development and policy formulation towards a sustainable energy future.
Topics to be covered include, but are not limited to:
1. Policies, market strategies, and tariff impacts on demand response programs.
2. Comparative analysis of incentive-based versus price-based demand response approaches.
3. The role of peer-to-peer energy trading within distributed networks and microgrids.
4. Harnessing flexible resources via demand response for enhanced smart grid performance.
5. Applying dynamic pricing and price elasticity estimation for effective load management and demand response.
6. Optimizing the integration of distributed renewable energy sources and storage solutions.
7. Implementing artificial intelligence in demand response strategies for smarter energy use.
8. Innovating demand response baselines for dynamic grid environments.
Keywords: demand response innovation, renewable energy integration, smart grid advancement, low-carbon energy transition, electricity market dynamics, optimization strategies
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.