| 1 |
Minimal Input and Output Selection for Stability of Systems With Uncertainties
Liu ZP, Long Y, Clark A, Bushnell L, Kirschen DS, Poovendran R
IEEE Transactions on Automatic Control, 64(4), 1456, 2019 |
| 2 |
Input variable selection for thermal load predictive models of commercial buildings
Kapetanakis DS, Mangina E, Finn DP
Energy and Buildings, 137, 13, 2017 |
| 3 |
Extended forecast methods for day-ahead electricity spot prices applying artificial neural networks
Keles D, Scelle J, Paraschiv F, Fichtner W
Applied Energy, 162, 218, 2016 |
| 4 |
The role of data sample size and dimensionality in neural network based forecasting of building heating related variables
Macas M, Moretti F, Fonti A, Giantomassi A, Comodi G, Annunziato M, Pizzuti S, Capra A
Energy and Buildings, 111, 299, 2016 |
| 5 |
A hybrid short-term load forecasting with a new input selection framework
Ghofrani M, Ghayekhloo M, Arabali A, Ghayekhloo A
Energy, 81, 777, 2015 |
| 6 |
Hourly prediction of a building's electricity consumption using case-based reasoning, artificial neural networks and principal component analysis
Platon R, Dehkordi VR, Martel J
Energy and Buildings, 92, 10, 2015 |
| 7 |
Day-ahead load forecast using random forest and expert input selection
Lahouar A, Slama JH
Energy Conversion and Management, 103, 1040, 2015 |
| 8 |
Selection of Control Configurations for Economic Model Predictive Control Systems
Ellis M, Christofides PD
AIChE Journal, 60(9), 3230, 2014 |
| 9 |
Short-term wind speed forecasting using wavelet transform and support vector machines optimized by genetic algorithm
Liu D, Niu DX, Wang H, Fan LL
Renewable Energy, 62, 592, 2014 |
| 10 |
Forecasting of global and direct solar irradiance using stochastic learning methods, ground experiments and the NWS database
Marquez R, Coimbra CFM
Solar Energy, 85(5), 746, 2011 |
