Jaume Manero

According to our database, Jaume Manero authored at least 10 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

IoT-Enabled Pediatric Pain Care Leveraging Majority Vote-Based Transfer Learning Models.

Nupur Gaikwad, Darshana Upadhyay, Jaume Manero, Srinivas Sampalli

Proceedings of the 7th Conference on Cloud and Internet of Things, 2024

2023

Comparative Analysis of Tabular Generative Adversarial Network (GAN) Models for Generation and Validation of Power Grid Synthetic Datasets.

Darshana Upadhyay, Qiaodan Luo, Jaume Manero, Marzia Zaman, Srinivas Sampalli

Proceedings of the 20th IEEE International Conference on Smart Technologies, 2023

2021

Gradient Boosting Feature Selection With Machine Learning Classifiers for Intrusion Detection on Power Grids.

Darshana Upadhyay, Jaume Manero, Marzia Zaman, Srinivas Sampalli

IEEE Trans. Netw. Serv. Manag., 2021

Intrusion Detection in SCADA Based Power Grids: Recursive Feature Elimination Model With Majority Vote Ensemble Algorithm.

Darshana Upadhyay, Jaume Manero, Marzia Zaman, Srinivas Sampalli

IEEE Trans. Netw. Sci. Eng., 2021

Forecastability Measures that Describe the Complexity of a Site for Deep Learning Wind Predictions.

Jaume Manero, Javier Béjar

Supercomput. Front. Innov., 2021

Wind Prediction Using Deep Learning and High Performance Computing.

Jaume Manero, Javier Béjar, Ulises Cortés

Proceedings of the High Performance Computing - 8th Latin American Conference, 2021

2020

Deep learning architectures applied to wind time series multi-step forecasting.

Jaume Manero Font

PhD thesis, 2020

2018

Wind Energy Forecasting with Neural Networks: A Literature Review.

Jaume Manero, Javier Béjar, Ulises Cortés

Computación y Sistemas, 2018

Predicting Wind Energy Generation with Recurrent Neural Networks.

Jaume Manero, Javier Béjar, Ulises Cortés

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018

Go with the Flow: Recurrent Networks for Wind Time Series Multi-Step Forecasting.

Jaume Manero, Javier Béjar, Ulises Cortés

Proceedings of the Artificial Intelligence Research and Development, 2018