1 |
Smart and intelligent energy monitoring systems: A comprehensive literature survey and future research guidelines Hussain T, Ullah FUM, Muhammad K, Rho S, Ullah A, Hwang E, Moon J, Baik SW International Journal of Energy Research, 45(3), 3590, 2021 |
2 |
Urban heat island impacts on building energy consumption: A review of approaches and findings Li XM, Zhou YY, Yu S, Jia GS, Li HD, Li WL Energy, 174, 407, 2019 |
3 |
A simplified power consumption model of information technology (IT) equipment in data centers for energy system real-time dynamic simulation Cheung H, Wang SW, Zhuang CQ, Gu JF Applied Energy, 222, 329, 2018 |
4 |
Machine learning approaches for estimating commercial building energy consumption Robinson C, Dilkina B, Hubbs J, Zhang WW, Guhathakurta S, Brown MA, Pendyala RM Applied Energy, 208, 889, 2017 |
5 |
Reducing specific energy consumption of seawater desalination: Staged RO or RO-PRO? Li MH Desalination, 422, 124, 2017 |
6 |
Energy consumption in machining: Classification, prediction, and reduction strategy Zhao GY, Liu ZY, He Y, Cao HJ, Guo YB Energy, 133, 142, 2017 |
7 |
Prediction of residential building energy consumption: A neural network approach Biswas MAR, Robinson MD, Fumo N Energy, 117, 84, 2016 |
8 |
Evaluation of the impact of environmental public policy measures on energy consumption and greenhouse gas emissions in the French residential sector Charlier D, Risch A Energy Policy, 46, 170, 2012 |
9 |
A decision tree method for building energy demand modeling Yu Z, Haghighat F, Fung BCM, Yoshino H Energy and Buildings, 42(10), 1637, 2010 |
10 |
Comparison of neural network, conditional demand analysis, and engineering approaches for modeling end-use energy consumption in the residential sector Aydinalp-Koksal M, Ugursal VI Applied Energy, 85(4), 271, 2008 |