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2020 – today
- 2024
[c5]Alexandre Moreira, Artur Ferreira, Nuno Leite:
Prediction of Alzheimer Disease on the DARWIN Dataset with Dimensionality Reduction and Explainability Techniques. EXPLAINS 2024: 38-49- 2023
- [c4]Yuzhou Chen, Miguel Heleno, Alexandre Moreira, Yulia R. Gel:
Topological Graph Convolutional Networks Solutions for Power Distribution Grid Planning. PAKDD (1) 2023: 123-134 - [i2]Stefan Borozan, Spyros Giannelos, Paola Falugi, Alexandre Moreira, Goran Strbac:
A Machine Learning-Enhanced Benders Decomposition Approach to Solve the Transmission Expansion Planning Problem under Uncertainty. CoRR abs/2304.07534 (2023) - 2022
- [c3]Yuzhou Chen, Tian Jiang, Miguel Heleno, Alexandre Moreira, Yulia R. Gel:
Evaluating Distribution System Reliability with Hyperstructures Graph Convolutional Nets. IEEE Big Data 2022: 1793-1800 - [i1]Yuzhou Chen, Tian Jiang, Miguel Heleno, Alexandre Moreira, Yulia R. Gel:
Evaluating Distribution System Reliability with Hyperstructures Graph Convolutional Nets. CoRR abs/2211.07645 (2022) - 2021
- [j1]Alexandre Moreira, David Pozo, Alexandre Street, Enzo E. Sauma
, Goran Strbac:
Climate-aware generation and transmission expansion planning: A three-stage robust optimization approach. Eur. J. Oper. Res. 295(3): 1099-1118 (2021)
2010 – 2019
- 2014
- [c2]Alexandre Moreira, Alexandre Street, José Manuel Arroyo:
Energy and reserve scheduling under correlated nodal demand uncertainty: An adjustable robust optimization approach. PSCC 2014: 1-8 - [c1]Mario Souto, Alexandre Moreira, Álvaro Veiga, Alexandre Street, Joaquim Dias Garcia, Camila Epprecht:
A high-dimensional VARX model to simulate monthly renewable energy supply. PSCC 2014: 1-7
Coauthor Index
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