| Location of urban micro‐consolidation centers to reduce the social cost of last‐mile deliveries of cargo: A heuristic approach M Arrieta‐Prieto, A Ismael, C Rivera‐Gonzalez, JE Mitchell Networks 79 (3), 292-313, 2022 | 22 | 2022 |
| Spatio-temporal probabilistic forecasting of wind power for multiple farms: A copula-based hybrid model M Arrieta-Prieto, KR Schell International Journal of Forecasting 38 (1), 300-320, 2022 | 16 | 2022 |
| Methodology for the feasibility assessment of an eco-transfer system S Pérez-Guzmán, C Wang, A Conway, ME Arrieta-Prieto, Y Ding, ... Transportation Research Part A: Policy and Practice 160, 280-297, 2022 | 5 | 2022 |
| Impacts of Policy-Induced Freight Modal Shifts, NCHRP/NCFRP J Holguın-Veras, C Wang, LK Kalahasthi, S Campbell, M Lawrence, ... Washington, DC, Transportation Research Board, NCFRP Report, 2019 | 3 | 2019 |
| Data-Driven Prediction of Power at Wind Farm Level M Arrieta-Prieto, K Schell | 2* | |
| Spatially transferable machine learning wind power prediction models: v− logit random forests M Arrieta-Prieto, KR Schell Renewable Energy 223, 120066, 2024 | | 2024 |
| Data-driven optimization for wind farm siting ME Arrieta-Prieto, KR Schell International Journal of Electrical Power & Energy Systems 155, 109552, 2024 | | 2024 |
| Latent split of aggregate counts: revealing home deliveries per commodity types and potential freight trip implications E Caspersen, M Arrieta-Prieto, X Wang Transportmetrica A: Transport Science 19 (2), 1990438, 2023 | | 2023 |
| Spatio-temporal probabilistic forecasting of wind power output M Arrieta-Prieto, KR Schell US Patent App. 17/642,787, 2022 | | 2022 |
| Selection of a linear combination of common factors as a coincident index for the colombian economy ME Arrieta Prieto Estadística, 2019 | | 2019 |
| El dilema de la muestra representativa:¿ muestreo de acuerdo con una selección aleatoria o no? MEA Prieto | | |
| Evaluation of the Sieve Bootstrap’s performance in comparison with the classic approach for forecasting purposes in time series analysis. MEA Prieto | | |
John MitchellProf of Mathematical Sciences, RPIVerified email at rpi.edu
