| Predicting electricity consumption for commercial and residential buildings using deep recurrent neural networks A Rahman, V Srikumar, AD Smith Applied Energy 212, 372-385, 2018 | 726 | 2018 |
| Combined cooling, heating and power: A review of performance improvement and optimization H Cho, AD Smith, P Mago Applied Energy 136, 168-185, 2014 | 445 | 2014 |
| Incorporating performance-based global sensitivity and uncertainty analysis into LCOE calculations for emerging renewable energy technologies TTD Tran, AD Smith Applied Energy 216, 157-171, 2018 | 203 | 2018 |
| Benefits of thermal energy storage option combined with CHP system for different commercial building types AD Smith, PJ Mago, N Fumo Sustainable Energy Technologies and Assessments 1, 3-12, 2013 | 151 | 2013 |
| Evaluation of renewable energy technologies and their potential for technical integration and cost-effective use within the U.S. energy sector TTD Tran, AD Smith Renewable and Sustainable Energy Reviews 80, 1372-1388, 2017 | 107 | 2017 |
| Evaluation of the potential emissions reductions from the use of CHP systems in different commercial buildings PJ Mago, AD Smith Building and Environment 53, 74-82, 2012 | 102 | 2012 |
| Effects of load-following operational methods on combined heat and power system efficiency AD Smith, PJ Mago Applied Energy 115, 337-351, 2014 | 93 | 2014 |
| Predicting heating demand and sizing a stratified thermal storage tank using deep learning algorithms A Rahman, AD Smith Applied Energy 228, 108-121, 2018 | 81 | 2018 |
| Performance modeling and parametric study of a stratified water thermal storage tank A Rahman, AD Smith, N Fumo Applied Thermal Engineering 100, 668-679, 2016 | 73 | 2016 |
| A review on the quantification of life cycle greenhouse gas emissions at urban scale Z Ghaemi, AD Smith Journal of Cleaner Production 252, 119634, 2020 | 46 | 2020 |
| Evaluation of the performance of combined cooling, heating, and power systems with dual power generation units AA Knizley, PJ Mago, AD Smith Energy Policy 66, 654-665, 2014 | 46 | 2014 |
| Predicting fuel consumption for commercial buildings with machine learning algorithms A Rahman, AD Smith Energy and Buildings 152, 341-358, 2017 | 43 | 2017 |
| Analysis of combined cooling, heating, and power systems operating following the electric load and following the thermal load strategies with no electricity export N Fumo, PJ Mago, AD Smith Proceedings of the Institution of Mechanical Engineers, Part A: Journal of …, 2011 | 38 | 2011 |
| Leveraging open-source tools for collaborative macro-energy system modeling efforts JF DeCarolis, P Jaramillo, JX Johnson, DL McCollum, E Trutnevyte, ... Joule 4 (12), 2523-2526, 2020 | 33 | 2020 |
| Spark spread–A screening parameter for combined heating and power systems AD Smith, N Fumo, PJ Mago Applied Energy 88 (5), 1494-1499, 2011 | 32 | 2011 |
| Multiscale effects masked the impact of the COVID-19 pandemic on electricity demand in the United States CD Burleyson, A Rahman, JS Rice, AD Smith, N Voisin Applied Energy 304, 117711, 2021 | 30 | 2021 |
| Stochastic optimization for integration of renewable energy technologies in district energy systems for cost-effective use TTD Tran, AD Smith Energies 12 (3), 533, 2019 | 27 | 2019 |
| Incorporating observed data into early design energy models for life cycle cost and carbon emissions analysis of campus buildings G Legorburu, AD Smith Energy and Buildings 224, 110279, 2020 | 24 | 2020 |
| System scaling approach and thermoeconomic analysis of a pressure retarded osmosis system for power production with hypersaline draw solution: A Great Salt Lake case study TTD Tran, K Park, AD Smith Energy 126, 97-111, 2017 | 24 | 2017 |
| Localized Actual Meteorological Year File Creator (LAF): A tool for using locally observed weather data in building energy simulations C Bianchi, AD Smith SoftwareX 10, 100299, 2019 | 23 | 2019 |
Pedro J. MagoStatler College of Engineering and Mineral Resources, West Virginia University在 mail.wvu.edu 的电子邮件经过验证
