Mapping the performance of reversible air-to-water heat pump for improving energy savings estimation in energy flexibility scenarios
Reversible heat pumps are key technologies for the decarbonization of space heating and
cooling in buildings. Considering the ongoing research on these technologies, it is important …
cooling in buildings. Considering the ongoing research on these technologies, it is important …
Innovative approaches to overcome inadequate measurements in heat pumps with non-fluorinated refrigerants
As the transition away from fluorinated refrigerants occurs due to F-gas and PFAS
regulations, heat pumps face the challenge of adapting to new non-fluorinated refrigerants …
regulations, heat pumps face the challenge of adapting to new non-fluorinated refrigerants …
[HTML][HTML] The impact of heat pumps on day-ahead energy community load forecasting
The rapid ramp-up of heat pump installations in modern power systems constitutes an
outstanding challenge for energy community and distribution grid operators. Accurate load …
outstanding challenge for energy community and distribution grid operators. Accurate load …
Optimization-oriented online modeling for generators of absorption heat pump systems
H Ma, X Ding, P Duan, C Ning, H Sun, D Yang… - Applied Thermal …, 2024 - Elsevier
An innovative online modeling approach for generators in absorption heat pump systems,
which utilizes a combination of the K-means clustering algorithm and back propagation …
which utilizes a combination of the K-means clustering algorithm and back propagation …
Analysis of temperature behavior and prediction model for underground permeable blocks rainwater tank source heat pump system through long-term operation
Permeable blocks rainwater tank (RW tank) source heat pump system (RWHP system) can
contribute to the development of an eco-friendly energy system. Therefore, this study …
contribute to the development of an eco-friendly energy system. Therefore, this study …
[HTML][HTML] XGBoost Based Enhanced Predictive Model for Handling Missing Input Parameters: A Case Study on Gas Turbine
This work extensively develops and evaluates an XGBoost model for predictive analysis of
gas turbine performance. The goal is to construct a robust prediction model by utilizing …
gas turbine performance. The goal is to construct a robust prediction model by utilizing …
Appraising machine learning algorithms in predicting noise level and emissions from gasoline-powered household backup generators
SO Giwa, CN Nwaokocha, OM Osifeko… - International Journal of …, 2024 - Springer
Abstract Machine learning is presently receiving great attention. However, machine learning
applications to gasoline engine research are limited. This paper investigated the …
applications to gasoline engine research are limited. This paper investigated the …
Modeling of heat pumps load profiles for power systems integration
A Ayad, S Wong, V Delisle - Electric Power Systems Research, 2025 - Elsevier
Heat pumps (HPs) are one of the most efficient heating technologies; their mass adoption
will be required to decarbonize energy systems. However, to do so will require a better …
will be required to decarbonize energy systems. However, to do so will require a better …
基于高精度热泵模型的电热协同独立微网设备优化配置.
孙健， 柯德平， 徐箭， 廖思阳… - … /Dianli Zidonghua Shebei, 2024 - search.ebscohost.com
为实现含丰富工业余热, 数据中心余热, 生活污水余热等低品位热源的区域协同供能,
以及提高区域清洁能源利用效率, 针对区域独立微网供能系统的设备优化配置策略进行研究 …
以及提高区域清洁能源利用效率, 针对区域独立微网供能系统的设备优化配置策略进行研究 …
Estimating Flexibility of Distribution Systems by Identifying Assets Based on Aggregated Transformer Measurements
IEP Cassabois - 2024 - repository.tudelft.nl
In the current grid infrastructure, the power flow reaching the limits of the grid capacity
induces several problems. A way to circumvent this issue is the introduction of flexibility in …
induces several problems. A way to circumvent this issue is the introduction of flexibility in …