1 |
An accurate thermal model for the PV electric generation prediction: long-term validation in different climatic conditions Bevilacqua P, Perrella S, Bruno R, Arcuri N Renewable Energy, 163, 1092, 2021 |
2 |
Comparison of empirical and predicted substrate temperature during surface melting of microalloyed steel using TIG technique and considering three shielding gases Munoz-Escalona P, Walker A, Ogwu A, Mridha S, Baker TN Applied Surface Science, 477, 179, 2019 |
3 |
A new modelling method for superalloy heating in resistance furnace using FLUENT Fu ZL, Yu XH, Shang HL, Wang ZZ, Zhang ZY International Journal of Heat and Mass Transfer, 128, 679, 2019 |
4 |
Comparison of data driven modeling approaches for temperature prediction in data centers Athavale J, Yoda M, Joshi Y International Journal of Heat and Mass Transfer, 135, 1039, 2019 |
5 |
Temperature rise prediction of lithium-ion battery suffering external short circuit for all-climate electric vehicles application Chen ZY, Xiong R, Lu JH, Li XG Applied Energy, 213, 375, 2018 |
6 |
Daily soil temperatures predictions for various climates in United States using data-driven model Xing L, Li LH, Gong JK, Ren C, Liu JY, Chen HX Energy, 160, 430, 2018 |
7 |
A hybrid approach to thermal building modelling using a combination of Gaussian processes and grey-box models Gray FM, Schmidt M Energy and Buildings, 165, 56, 2018 |
8 |
Numerical modeling of ground thermal response with borehole heat exchangers connected in parallel Monzo P, Puttige AR, Acuna J, Mogensen P, Cazorla A, Rodriguez J, Montagud C, Cerdeira F Energy and Buildings, 172, 371, 2018 |
9 |
Real-time temperature predictions in IT server enclosures Moazamigoodarzi H, Pal S, Ghosh S, Puri IK International Journal of Heat and Mass Transfer, 127, 890, 2018 |
10 |
Estimation of finish cooling temperature by artificial neural networks of backpropagation during accelerated control cooling process Lim HS, Kang YT International Journal of Heat and Mass Transfer, 126, 579, 2018 |