[HTML][HTML] Artificial intelligence powered large-scale renewable integrations in multi-energy systems for carbon neutrality transition: Challenges and future perspectives

Z Liu, Y Sun, C Xing, J Liu, Y He, Y Zhou, G Zhang - Energy and AI, 2022 - Elsevier
The vigorous expansion of renewable energy as a substitute for fossil energy is the
predominant route of action to achieve worldwide carbon neutrality. However, clean energy …

Collaborative operational model for shared hydrogen energy storage and park cluster: A multiple values assessment

Y Li, W Hu, F Zhang, Y Li - Journal of Energy Storage, 2024 - Elsevier
The availability of renewable energy sources poses challenges to the reliable operation of
the park's electric-heat system. As a significant clean and environmentally friendly flexible …

[HTML][HTML] A novel computational paradigm for scheduling of hybrid energy networks considering renewable uncertainty limitations

M Khalid, I Ahmed, M AlMuhaini, AV Savkin - Energy Reports, 2024 - Elsevier
Numerous developing countries are currently grappling with energy crises due to the current
surge in global fossil fuels prices. This situation has prompted policymakers and cities …

[HTML][HTML] Predicting moisture condensation risk on the radiant cooling floor of an office using integration of a genetic algorithm-back-propagation neural network with …

M Su, J Liu, MK Kim, X Wu - Energy and Built Environment, 2024 - Elsevier
Pre-dehumidification time (τ pre) and pre-dehumidification energy consumption (E pre) play
important roles in preventing the condensation of moisture on the floors of rooms that use a …

A data-driven rolling optimization control approach for building energy systems that integrate virtual energy storage systems

Y Mu, Y Xu, J Zhang, Z Wu, H Jia, X Jin, Y Qi - Applied Energy, 2023 - Elsevier
The virtual energy storage system (VESS) is an innovative and cost-effective technique for
coupling building envelope thermal storage and release abilities with the electric and heat …

Real-time prediction of key monitoring physical parameters for early warning of fire-induced building collapse

W Ji, GQ Li, S Zhu - Computers & Structures, 2022 - Elsevier
This paper proposes a real-time prediction method for key monitoring physical parameters
(KMPPs) for early warning of fire-induced building collapse using machine learning. Since …

Validation of virtual sensor-assisted Bayesian inference-based in-situ sensor calibration strategy for building HVAC systems

G Li, J Xiong, S Sun, J Chen - Building Simulation, 2023 - Springer
For building heating, ventilation and air-conditioning systems (HVACs), sensor faults
significantly affect the operation and control. Sensors with accurate and reliable …

A demand response method for an active thermal energy storage air-conditioning system using improved transactive control: On-site experiments

C Xiong, Q Meng, H Luo, Y Lei, J Liu, X Yan - Applied Energy, 2023 - Elsevier
Transactive control (TC) and active thermal energy storage (ATES) strategies can effectively
achieve a supply–demand balance across energy sources in the power grid. However, past …

MPC-based virtual energy storage system using PV and air conditioner to emulate virtual inertia and frequency regulation of the low-inertia microgrid

J Pahasa, P Potejana, I Ngamroo - IEEE Access, 2022 - ieeexplore.ieee.org
Grid-connected large-scale power converter-based intermittent renewable energy sources
(RES) reduce system inertia, increase frequency fluctuation, and increase the rate of change …

[HTML][HTML] A Review and Prospective Study on Modeling Approaches and Applications of Virtual Energy Storage in Integrated Electric–Thermal Energy Systems

Q Fu, Z Xing, C Zhang, J Xu - Energies, 2024 - mdpi.com
The increasing use of renewable energy sources introduces significant fluctuations in power
generation, demanding enhanced regulatory capabilities to maintain the balance between …