Demand response of HVAC systems for hosting capacity improvement in distribution networks: A comprehensive review and case study

H Hwang, A Yoon, Y Yoon, S Moon - Renewable and Sustainable Energy …, 2023 - Elsevier
With the declaration of the net-zero emission pledge by 2050, improving the hosting capacity
of distributed generations is crucial for the distribution system operators to operate the …

A digital twin architecture for real-time and offline high granularity analysis in smart buildings

L Hadjidemetriou, N Stylianidis, D Englezos… - Sustainable Cities and …, 2023 - Elsevier
Smart buildings aim to create a safe, comfortable and sustainable environment for the
occupants while increasing the energy performance of the building to reduce the …

Two-stage robust optimization for space heating loads of buildings in integrated community energy systems

C Zhou, H Jia, X **, Y Mu, X Yu, X Xu, B Li, W Sun - Applied Energy, 2023 - Elsevier
A two-stage robust optimization (RO) method for buildings' space heating loads (SHLs) in an
integrated community energy system (ICES) is proposed. At the first stage, a bi-level …

[HTML][HTML] Data-driven online energy management framework for HVAC systems: An experimental study

D Zhao, D Watari, Y Ozawa, I Taniguchi, T Suzuki… - Applied Energy, 2023 - Elsevier
The optimization of the operation of heating, ventilation, and air conditioning (HVAC)
systems has gained considerable attention due to its energy conservation potential …

A home energy management system incorporating data-driven uncertainty-aware user preference

Y Liu, J Ma, X **ng, X Liu, W Wang - Applied Energy, 2022 - Elsevier
Today, with the increase in the integration of renewable sources, the home energy
management system (HEMS) has become a promising approach to improve grid energy …

A data-model fusion dispatch strategy for the building energy flexibility based on the digital twin

Y Song, M **a, 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 …

[HTML][HTML] Hierarchical-stochastic model predictive control for a grid-interactive multi-zone residential building with distributed energy resources

F Langner, M Frahm, W Wang, J Matthes… - Journal of Building …, 2024 - Elsevier
Abstract Using Model Predictive Control (MPC) is a promising method for enabling grid-
interactive efficient buildings. Since MPC relies on a building model and the forecasts of …

Consistency guaranteed two-timescale decision and optimization of HVAC system with ice storage

Z Nie, W Cheng, G Zhou, X Chen, CB Yan… - International Journal of …, 2022 - Elsevier
Nuclear power is the world's largest source of clean energy. Nowadays the capacity
shortage of electricity market for consuming nuclear power has appeared. Meanwhile, under …

The interactive dispatch strategy for thermostatically controlled loads based on the source–load collaborative evolution

Y Song, F Chen, M **a, 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 …

Control strategies of large-scale residential air conditioning loads participating in demand response programs

J Wang, X Chen, J **e, S Xu, K Yu… - CSEE Journal of Power …, 2020 - ieeexplore.ieee.org
Residential air conditioning (RAC) loads have great potential to be included in demand
response (DR) programs. This paper studies large-scale RAC loads participating in DR …