Optimal design, operational controls, and data-driven machine learning in sustainable borehole heat exchanger coupled heat pumps: Key implementation challenges …

N Ahmed, M Assadi, AA Ahmed, R Banihabib - Energy for Sustainable …, 2023 - Elsevier
The integration of technologies has made it possible to develop optimal operating conditions
at reduced costs, which results in a more sustainable energy transition away from fossil fuels …

Modelling and Co-simulation of hybrid vehicles: A thermal management perspective

R Yuan, T Fletcher, A Ahmedov, N Kalantzis… - Applied Thermal …, 2020 - Elsevier
Thermal management plays a vital role in the modern vehicle design and delivery. It enables
the thermal analysis and optimisation of energy distribution to improve performance …

Heating performance characteristics of CO2 heat pump system for electrical vehicle in a cold climate

D Wang, B Yu, J Hu, L Chen, J Shi, J Chen - International Journal of …, 2018 - Elsevier
This study investigated the heating performance characteristics of a CO 2 heat pump system
for an electrical vehicle in a cold climate. Experimental tests evaluated the effects on system …

Dynamic modeling of exergy efficiency of turboprop engine components using hybrid genetic algorithm-artificial neural networks

T Baklacioglu, O Turan, H Aydin - Energy, 2015 - Elsevier
Genetic algorithm is utilized to design the optimum initial value of parameters and topology
of the artificial neural network which is trained by applying the improved backpropagation …

[PDF][PDF] Predictive machine learning approach for complex problem solving process data mining

A Pejić, PS Molcer - Acta Polytechnica Hungarica, 2021 - acta.uni-obuda.hu
Problem-solving is considered to be an essential everyday skill, in professional as well as in
personal situations. In this paper, we investigate whether a predictive model for a problem …

Automotive cabin soak temperature control strategies for improved safety, comfort and fuel efficiency: A review

AA Lahimer, AA Razak, AF Sharol, K Sopian - Solar Energy, 2023 - Elsevier
There has been growing concern over improving the driving range of electric vehicles (EVs)
and achieving rapid cabin thermal comfort upon entering a hot-soaked vehicle, thereby …

Assessing the transferability of support vector machine model for estimation of global solar radiation from air temperature

JL Chen, GS Li, BB Xiao, ZF Wen, MQ Lv… - Energy Conversion and …, 2015 - Elsevier
Exploring novel methods for estimation of global solar radiation from air temperature has
been being a focus in many studies. This paper evaluates the transferability of support …

Machine learning-based performance prediction for ground source heat pump systems

X Zhang, E Wang, L Liu, C Qi - Geothermics, 2022 - Elsevier
The coefficient of performance (COP) prediction of heat pump units and ground source heat
pump (GSHP) systems are required for effective evaluation, optimization, and fault diagnosis …

Energy consumption and increased EV range evaluation through heat pump scenarios and low GWP refrigerants in the new test procedure WLTP

B Yu, J Yang, D Wang, J Shi, J Chen - International Journal of Refrigeration, 2019 - Elsevier
The aim of this work is to evaluate the cabin heating energy consumption and driving range
for a battery electric vehicle. The vehicle was tested in climatic wind tunnel laboratory under …

Analysis and validation of transient thermal model for automobile cabin

J Wu, F Jiang, H Song, C Liu, B Lu - Applied thermal engineering, 2017 - Elsevier
As automobile cabin thermal environment is complex and continually varies during its travel
on road, a dynamical thermal load model based on response factor method has been …