About this Research Topic
The world's increasing level of urbanization and the continuing restructuring of industry have resulted in great reliance on energy in cities. Different from the traditional energy system, urban energy systems present the complex characteristics of multi-mechanism coexistence, multi-dynamic intertwining, and multi-process coupling. Building an urban energy system that ensures social living standards, economic progress, and sustainable development has become particularly important. However, recent urban energy systems are facing challenges and threats from uncertain renewable power generation, weak degree of intelligence, cyber-attacks, and so on. At the same time, the integration of distributed energy resources, such as renewable energy generation units, combined heat and power units, and electric vehicles further complicates the management of urban energy systems. Therefore, it is imperative to study the planning, operation, and control methodologies of urban energy systems to achieve affordable, clean, and flexible energy supply to cities.
The main objectives of this Research Topic are：
1) Apply optimization methods (e.g. mathematical programming and deep learning) to realize the planning, operation, and control in smart cities;
2) Effectively coordinate and manage flexible resources such as buildings, charging stations, and electric vehicles in smart cities;
3) Propose an effective low-carbon economic business model for urban energy systems;
4) Preserve the privacy of various stakeholders in urban energy systems;
5) Propose key communication technologies and decision-making methods of urban energy systems based on game theory;
6) Formulate energy management strategies to attain sustainable cities and communities of UN Sustainable Development Goals (SDGs).
Topics to be covered include, but are not limited to:
1) Electric vehicles in urban energy systems;
2) Energy storage in urban energy systems for effective operation;
3) Information, transportation, district heating, and gas network;
4) Low-carbon economic business model;
5) Modeling and optimization technologies for urban energy systems;
6) Machine learning and deep learning;
7) Planning, operation, and control methods of urban energy systems;
8) Privacy-preserving distributed energy management;
9) Resilience enhancement under extreme conditions;
10)Renewable energy integration and prediction;
11)Smart buildings in urban energy systems.
The main objectives of this Research Topic are：
1) Apply optimization methods (e.g. mathematical programming and deep learning) to realize the planning, operation, and control in smart cities;
2) Effectively coordinate and manage flexible resources such as buildings, charging stations, and electric vehicles in smart cities;
3) Propose an effective low-carbon economic business model for urban energy systems;
4) Preserve the privacy of various stakeholders in urban energy systems;
5) Propose key communication technologies and decision-making methods of urban energy systems based on game theory;
6) Formulate energy management strategies to attain sustainable cities and communities of UN Sustainable Development Goals (SDGs).
Topics to be covered include, but are not limited to:
1) Electric vehicles in urban energy systems;
2) Energy storage in urban energy systems for effective operation;
3) Information, transportation, district heating, and gas network;
4) Low-carbon economic business model;
5) Modeling and optimization technologies for urban energy systems;
6) Machine learning and deep learning;
7) Planning, operation, and control methods of urban energy systems;
8) Privacy-preserving distributed energy management;
9) Resilience enhancement under extreme conditions;
10)Renewable energy integration and prediction;
11)Smart buildings in urban energy systems.
Keywords: urban energy system, business model, privacy, game theory, planning operation and control methodologies
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.
