Jorge Ángel González Ordiano
Orcid: 0000-0002-4239-7144
According to our database1,
Jorge Ángel González Ordiano
authored at least 19 papers
between 2017 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
Towards Automatic Principles of Persuasion Detection Using Machine Learning Approach.
Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 2023
Assessment of The Nasa SMAP Soil Moisture Product Over a Semi-Arid Agricultural Region in Mexico.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
2022
Proceedings of the Advances in Computational Intelligence, 2022
2021
Probabilistic Solar Power Forecasting: Long Short-Term Memory Network vs Simpler Approaches.
CoRR, 2021
Validation of a Drought Index Based on Smos Soil Moisture Product Over An Agricultural Area in Central Mexico.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
2020
A Method for Estimating Driving Factors of Illicit Trade Using Node Embeddings and Clustering.
Proceedings of the Pattern Recognition - 12th Mexican Conference, 2020
On the Analysis of Illicit Supply Networks Using Variable State Resolution-Markov Chains.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020
2019
New Data-Driven Probabilistic Forecasting Methods with Applications in Energy Systems
PhD thesis, 2019
Probabilistic Energy Forecasting using Quantile Regressions based on a new Nearest Neighbors Quantile Filter.
CoRR, 2019
2018
J. Big Data, 2018
CoRR, 2018
Storage Scheduling with Stochastic Uncertainties: Feasibility and Cost of Imbalances.
CoRR, 2018
Demand Response clustering: Automatically finding optimal cluster hyper-parameter values.
Proceedings of the Ninth International Conference on Future Energy Systems, 2018
Proceedings of the Ninth International Conference on Future Energy Systems, 2018
2017
Comput. Sci. Res. Dev., 2017
Nearest-Neighbor Based Non-Parametric Probabilistic Forecasting with Applications in Photovoltaic Systems.
CoRR, 2017
Towards coding strategies for forecasting-based scheduling in smart grids and the energy lab 2.0.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017