1 |
A benchmark city-level carbon dioxide emission inventory for China in 2005 Cai BF, Lu J, Wang JN, Dong HJ, Liu XM, Chen Y, Chen ZM, Cong JH, Cui ZP, Dai CY, Fang K, Feng T, Guo J, Li F, Meng FX, Tang W, Wang GZ, Xie YS, Zhang JJ Applied Energy, 233, 659, 2019 |
2 |
Experimental flexibility identification of aggregated residential thermal loads using behind-the-meter data Ziras C, Heinrich C, Pertl M, Bindner HW Applied Energy, 242, 1407, 2019 |
3 |
Spillover as a cause of bias in baseline evaluation methods for demand response programs Todd A, Cappers P, Spurlock CA, Jin L Applied Energy, 250, 344, 2019 |
4 |
Defining virtual control group to improve customer baseline load calculation of residential demand response Lee E, Lee K, Lee H, Kim E, Rhee W Applied Energy, 250, 946, 2019 |
5 |
Improving Energy Performance Indicators with the Help of Multivariable Linear Regression Mutschler-Burghard R Chemical Engineering & Technology, 42(9), 1861, 2019 |
6 |
Application of a novel model for bubble-induced turbulence to bubbly flows in containers and vertical pipes Liao YX, Ma T, Krepper E, Lucas D, Frohlich J Chemical Engineering Science, 202, 55, 2019 |
7 |
Energy performance analysis of continuous processes using surrogate models Beisheim B, Rahimi-Adli K, Kramer S, Engell S Energy, 183, 776, 2019 |
8 |
Life-cycle environmental performance assessment of electricity generation and transmission systems in Greece Orfanos N, Mitzelos D, Sagani A, Dedoussis V Renewable Energy, 139, 1447, 2019 |
9 |
A simple and reliable empirical model with two predictors for estimating 1-minute diffuse fraction Paulescu E, Blaga R Solar Energy, 180, 75, 2019 |
10 |
Using change-point and Gaussian process models to create baseline energy models in industrial facilities: A comparison Carpenter J, Woodbury KA, O'Neill Z Applied Energy, 213, 415, 2018 |