| 1 |
Short term solar irradiance forecasting via a novel evolutionary multi-model framework and performance assessment for sites with no solar irradiance data
Marzouq M, El Fadili H, Zenkouar K, Lakhliai Z, Amouzg M
Renewable Energy, 157, 214, 2020 |
| 2 |
Potential of three variant machine-learning models for forecasting district level medium-term and long-term energy demand in smart grid environment
Ahmad T, Chen HX
Energy, 160, 1008, 2018 |
| 3 |
Machine learning modelling for the high-pressure homogenization-mediated disruption of recombinant E-coli
Bhilare KD, Patil MD, Tangadpalliwar S, Dev MJ, Garg P, Banerjee UC
Process Biochemistry, 71, 182, 2018 |
| 4 |
Data driven prediction models of energy use of appliances in a low-energy house
Candanedo LM, Feldheim V, Deramaix D
Energy and Buildings, 140, 81, 2017 |
| 5 |
Artificial neural network to predict the degraded mechanical properties of metallic materials due to the presence of hydrogen
Thankachan T, Prakash KS, Pleass CD, Rammasamy D, Prabakaran B, Jothi S
International Journal of Hydrogen Energy, 42(47), 28612, 2017 |
| 6 |
Unsupervised mitochondria segmentation using recursive spectral clustering and adaptive similarity models
Dietlmeier J, Ghita O, Duessmann H, Prehn JHM, Whelan PF
Journal of Structural Biology, 184(3), 401, 2013 |
