A data-model fusion dispatch strategy for the building energy flexibility based on the digital twin
Y Song, M Xia, Q Chen, F Chen - Applied Energy, 2023 - Elsevier
With the growing percentage of the intermittent renewable power generation, the energy
system is under increasing pressure in balancing the supply and the demand. As a major …
system is under increasing pressure in balancing the supply and the demand. As a major …
Real-time flexibility quantification of a building HVAC system for peak demand reduction
The quantification of heating, ventilation, and air condition (HVAC) system flexibility is critical
to the operations of both the grid and buildings in demand response (DR) programs …
to the operations of both the grid and buildings in demand response (DR) programs …
Data valuation from data-driven optimization
R Mieth, JM Morales, HV Poor - IEEE Transactions on Control …, 2024 - ieeexplore.ieee.org
With the ongoing investment in data collection and communication technology in power
systems, data-driven optimization has been established as a powerful tool for system …
systems, data-driven optimization has been established as a powerful tool for system …
A hierarchical approach to multienergy demand response: From electricity to multienergy applications
Due to proliferation of energy efficiency measures and availability of the renewable energy
resources, traditional energy infrastructure systems (electricity, heat, gas) can no longer be …
resources, traditional energy infrastructure systems (electricity, heat, gas) can no longer be …
The interactive dispatch strategy for thermostatically controlled loads based on the source–load collaborative evolution
Y Song, F Chen, M Xia, Q Chen - Applied Energy, 2022 - Elsevier
With the urbanization and the decarbonization of the heating sector, thermostatically
controlled loads (TCLs) with a rising energy consumption proportion, have become …
controlled loads (TCLs) with a rising energy consumption proportion, have become …
Privacy-aware load ensemble control: A linearly-solvable MDP approach
Demand response (DR) programs engage distributed demand-side resources, eg,
controllable residential and commercial loads, in providing ancillary services for electric …
controllable residential and commercial loads, in providing ancillary services for electric …
Learning with Adaptive Conservativeness for Distributionally Robust Optimization: Incentive Design for Voltage Regulation
Information asymmetry between the Distribution System Operator (DSO) and Distributed
Energy Resource Aggregators (DERAs) obstructs designing effective incentives for voltage …
Energy Resource Aggregators (DERAs) obstructs designing effective incentives for voltage …
Distributionally robust chance-constrained optimal transmission switching for renewable integration
Increasing integration of renewable generation poses significant challenges to ensure
robustness guarantees in real-time energy system decision-making. This work aims to …
robustness guarantees in real-time energy system decision-making. This work aims to …
Learning-enabled residential demand response: Automation and security of cyberphysical demand response systems
Residential Demand Response (DR) Programs have been validated as a viable technology
to improve energy efficiency and the reliability of electric power distribution. However …
to improve energy efficiency and the reliability of electric power distribution. However …
Demand response optimal dispatch and control of tcl and pev agents with renewable energies
Demand response (DR) flexible loads can provide fast regulation and ancillary services as
reserve capacity in power systems. This paper proposes a demand response optimization …
reserve capacity in power systems. This paper proposes a demand response optimization …