| 1 |
Pollutant monitoring in tail gas of sulfur recovery unit with statistical and soft computing models
Morey A, Pradhan S, Kumar RA, Pani AK, Vijayan SV, Jain V, Gupta A
Chemical Engineering Communications, 206(1), 69, 2019 |
| 2 |
Geothermal heat exchanger energy prediction based on time series and monitoring sensors optimization
Baruque B, Porras S, Jove E, Calvo-Rolle JL
Energy, 171, 49, 2019 |
| 3 |
Resources allocation and more efficient use of energy in China's textile industry
Zhao HL, Lin BQ
Energy, 185, 111, 2019 |
| 4 |
Changes in Energy Intensity During the development Process : Evidence in Sub-Saharan Africa and Policy Implications
Lin B, Abudu H
Energy, 183, 1012, 2019 |
| 5 |
An analysis of used lubricant recycling unit in Turkey
Seckiner SU, Al Shareef AM
Energy Sources Part A-recovery Utilization and Environmental Effects, 41(17), 2157, 2019 |
| 6 |
Predicting sooting tendencies of oxygenated hydrocarbon fuels with machine learning algorithms
Gao Z, Zou XY, Huang Z, Zhu L
Fuel, 242, 438, 2019 |
| 7 |
A multi-objective wind speed and wind power prediction interval forecasting using variational modes decomposition based Multi-kernel robust ridge regression
Naik J, Dash PK, Dhar S
Renewable Energy, 136, 701, 2019 |
| 8 |
Hydropower and potential for interfuel substitution: The case of electricity sector in Malaysia
Bello MO, Solarin SA, Yen YY
Energy, 151, 966, 2018 |
| 9 |
Carbon abatement in China's commercial building sector: A bottom-up measurement model based on Kaya-LMDI methods
Ma MD, Cai W, Cai WG
Energy, 165, 350, 2018 |
| 10 |
Prediction interval forecasting of wind speed and wind power using modes decomposition based low rank multi-kernel ridge regression
Naik J, Bisoi R, Dash PK
Renewable Energy, 129, 357, 2018 |
