| 1 |
Machine learning-based energy consumption clustering and forecasting for mixed-use buildings
Culaba AB, Del Rosario AJR, Ubando AT, Chang JS
International Journal of Energy Research, 44(12), 9659, 2020 |
| 2 |
Economic evaluation of Nearly Zero Energy Cities
Villa-Arrieta M, Sumper A
Applied Energy, 237, 404, 2019 |
| 3 |
Methodology developed for the construction of an urban-energy diagnosis aimed to assess alternative scenarios: An intra-urban approach to foster cities' sustainability
Chevez PJ, Martini I, Discoli C
Applied Energy, 237, 751, 2019 |
| 4 |
Impact of deep wind power penetration on variability at load centers
Waite M, Modi V
Applied Energy, 235, 1048, 2019 |
| 5 |
Scenarios and policies for sustainable urban energy development based on LEAP model - A case study of a postindustrial city: Shenzhen China
Hu GX, Ma XM, Ji JP
Applied Energy, 238, 876, 2019 |
| 6 |
Urban solar utilization potential mapping via deep learning technology: A case study of Wuhan, China
Huang ZJ, Mendis T, Xu S
Applied Energy, 250, 283, 2019 |
| 7 |
Results of a literature review on methods for estimating buildings energy demand at district level
Ferrari S, Zagarella F, Caputo P, D'Amico A
Energy, 175, 1130, 2019 |
| 8 |
Assessment of tools for urban energy planning
Ferrari S, Zagarella F, Caputo P, Bonomolo M
Energy, 176, 544, 2019 |
| 9 |
Parallel computational building-chain model for rapid urban-scale energy simulation
Zheng Z, Chen JY, Luo XW
Energy and Buildings, 201, 37, 2019 |
| 10 |
Urban energy energy modeling and calibration of a coastal Mediterranean city: The case of Beirut
Krayem A, Al Bitar A, Ahmad A, Faour G, Gastellu-Etchegorry JP, Lakkis I, Gerard J, Zaraket H, Yeretzian A, Najem S
Energy and Buildings, 199, 223, 2019 |
