Privacy-preserving regulation capacity evaluation for hvac systems in heterogeneous buildings based on federated learning and transfer learning
Heating, ventilation, and air conditioning (HVAC) systems in buildings have great potential
to provide regulation capacity that is leveraged to maintain the balance of supply and …
to provide regulation capacity that is leveraged to maintain the balance of supply and …
Adversarial false data injection attacks on deep learning‐based short‐term wind speed forecasting
L Yang, G Liang, Y Yang, J Ruan… - IET Renewable Power …, 2024 - Wiley Online Library
Develo** accurate wind speed forecasting methods is indispensable to integrating wind
energy into smart grids. However, current state‐of‐the‐art wind speed forecasting methods …
energy into smart grids. However, current state‐of‐the‐art wind speed forecasting methods …
Equivalent system model of district cooling system in frequency domain to provide primary frequency regulation
With the increasing adoption of intermittent renewable generation, challenges to maintain
stable frequencies for power systems are increasing. Demand-side resources, such as …
stable frequencies for power systems are increasing. Demand-side resources, such as …
Delay-Dependent Stability Evaluation for Temperature Control Load Participating in Load Frequency Control of Microgrid
Temperature control load (TCL) usually participates in load frequency control of microgrid
(MGLFC) through open communication network, which inevitably introduces time delays …
(MGLFC) through open communication network, which inevitably introduces time delays …
[HTML][HTML] Optimization of Urban Target Area Accessibility for Multi-UAV Data Gathering Based on Deep Reinforcement Learning
Z **, R Chen, K Wu, T Yu, L Fu - Drones, 2024 - mdpi.com
Unmanned aerial vehicles (UAVs) are increasingly deployed to enhance the operational
efficiency of city services. However, finding optimal solutions for the gather–return task …
efficiency of city services. However, finding optimal solutions for the gather–return task …
Wind Power Forecasting: LSTM-Combined Deep Reinforcement Learning Approach
Y Wang, X Lin, Z Tan, Y Liu, Z Song… - 2023 IEEE 7th …, 2023 - ieeexplore.ieee.org
With the high penetration of renewable energies connected to smart grids, accurate wind
power forecasting becomes more and more crucial to cope with its intermittency to achieve …
power forecasting becomes more and more crucial to cope with its intermittency to achieve …
Optimal Operation and Economic Analysis of Ice Thermal Energy Storage in District Cooling System
X Wei, H Zhang, CK Wong - 2024 IEEE Power & Energy …, 2024 - ieeexplore.ieee.org
Ice thermal energy storage (ITES) is a type of cooling thermal energy storage. It can shift the
daytime peak cooling load to nighttime, thereby enhancing the economic benefit of the …
daytime peak cooling load to nighttime, thereby enhancing the economic benefit of the …
Frequency Regulation Support from District Cooling System and V2G Facility in Cluster of Buildings
District Cooling System (DCS) is capable of providing cooling power in large capacity to the
cluster of buildings. It could be a potential resource to supply the frequency regulation …
cluster of buildings. It could be a potential resource to supply the frequency regulation …
Distributed Control of Large-Scale Thermostatically Controlled Loads for Improving the Flexibility of Urban Power Systems
J Hong - 2023 - search.proquest.com
This thesis focuses on distributed control of large-scale residential inverter-based
thermostatically controlled loads (TCLs) for improving the flexibility of urban power systems …
thermostatically controlled loads (TCLs) for improving the flexibility of urban power systems …