| 1 |
Assessment of machine learning techniques for deterministic and probabilistic intra-hour solar forecasts
Pedro HTC, Coimbra CFM, David M, Lauret P
Renewable Energy, 123, 191, 2018 |
| 2 |
A database infrastructure to implement real-time solar and wind power generation intra-hour forecasts
Pedro HTC, Lim E, Coimbra CFM
Renewable Energy, 123, 513, 2018 |
| 3 |
History and trends in solar irradiance and PV power forecasting: A preliminary assessment and review using text mining
Yang DZ, Kleissl J, Gueymard CA, Pedro HTC, Coimbra CFM
Solar Energy, 168, 60, 2018 |
| 4 |
Net load forecasts for solar-integrated operational grid feeders
Chu YH, Pedro HTC, Kaur A, Kleissl J, Coimbra CFM
Solar Energy, 158, 236, 2017 |
| 5 |
Benefits of solar forecasting for energy imbalance markets
Kaur A, Nonnenmacher L, Pedro HTC, Coimbra CFM
Renewable Energy, 86, 819, 2016 |
| 6 |
Quantitative evaluation of the impact of cloud transmittance and cloud velocity on the accuracy of short-term DNI forecasts
Li MY, Chu YH, Pedro HTC, Coimbra CFM
Renewable Energy, 86, 1362, 2016 |
| 7 |
Performance evaluation of various cryogenic energy storage systems
Abdo RF, Pedro HTC, Koury RNN, Machado L, Coimbra CFM, Porto MP
Energy, 90, 1024, 2015 |
| 8 |
Optimized heat transfer correlations for pure and blended refrigerants
Porto MP, Pedro HTC, Machado L, Koury RNN, Bandarra EP, Coimbra CFM
International Journal of Heat and Mass Transfer, 85, 577, 2015 |
| 9 |
Nearest-neighbor methodology for prediction of intra-hour global horizontal and direct normal irradiances
Pedro HTC, Coimbra CFM
Renewable Energy, 80, 770, 2015 |
| 10 |
Real-time prediction intervals for intra-hour DNI forecasts
Chu YH, Li MY, Pedro HTC, Coimbra CFM
Renewable Energy, 83, 234, 2015 |
