| 1 |
Artificial neural networks to predict energy performance and retrofit scenarios for any member of a building category: A novel approach
Ascione F, Bianco N, De Stasio C, Mauro GM, Vanoli GP
Energy, 118, 999, 2017 |
| 2 |
CASA, cost-optimal analysis by multi-objective optimisation and artificial neural networks: A new framework for the robust assessment of cost-optimal energy retrofit, feasible for any building
Ascione F, Bianco N, De Stasio C, Mauro GM, Vanoli GP
Energy and Buildings, 146, 200, 2017 |
| 3 |
Multi-stage and multi-objective optimization for energy retrofitting a developed hospital reference building: A new approach to assess cost-optimality
Ascione F, Bianco N, De Stasio C, Mauro GM, Vanoli GP
Applied Energy, 174, 37, 2016 |
| 4 |
Simulation-based model predictive control by the multi-objective optimization of building energy performance and thermal comfort
Ascione F, Bianco N, De Stasio C, Mauro GM, Vanoli GP
Energy and Buildings, 111, 131, 2016 |
| 5 |
A new methodology for cost-optimal analysis by means of the multi-objective optimization of building energy performance
Ascione F, Bianco N, De Stasio C, Mauro GM, Vanoli GP
Energy and Buildings, 88, 78, 2015 |
