Towards coding strategies for forecasting-based scheduling in smart grids and the energy lab 2.0. - Wilfried Jakob; Jorge Ángel González Ordiano; Nicole Ludwig 002; Ralf Mikut; Veit Hagenmeyer (GECCO (Companion), 2017)

The MATLAB Toolbox SciXMiner: User's Manual and Programmer's Guide. - Ralf Mikut; Andreas Bartschat; Wolfgang Doneit 001; Jorge Ángel González Ordiano; Benjamin Schott; Johannes Stegmaier; Simon Waczowicz; Markus Reischl (CoRR, 2017)

Nearest-Neighbor Based Non-Parametric Probabilistic Forecasting with Applications in Photovoltaic Systems. - Jorge Ángel González Ordiano; Wolfgang Doneit 001; Simon Waczowicz; Lutz Gröll; Ralf Mikut; Veit Hagenmeyer (CoRR, 2017)

Photovoltaic power forecasting using simple data-driven models without weather data. - Jorge Ángel González Ordiano; Simon Waczowicz; Markus Reischl; Ralf Mikut; Veit Hagenmeyer (Comput. Sci. Res. Dev., 2017)

Numerical Weather Prediction Data Free Solar Power Forecasting with Neural Networks. - Vinayak Sharma 001; Umit Cali; Veit Hagenmeyer; Ralf Mikut; Jorge Ángel González Ordiano (e-Energy, 2018)

Demand Response clustering: Automatically finding optimal cluster hyper-parameter values. - Simon Waczowicz; Nicole Ludwig 002; Jorge Ángel González Ordiano; Ralf Mikut; Veit Hagenmeyer (e-Energy, 2018)

Storage Scheduling with Stochastic Uncertainties: Feasibility and Cost of Imbalances. - R. R. Appino; Jorge Ángel González Ordiano; Ralf Mikut; Veit Hagenmeyer; Timm Faulwasser (CoRR, 2018)

Reliable Dispatch of Renewable Generation via Charging of Dynamic PEV Populations. - R. R. Appino; M. Muñoz-Ortiz; Jorge Ángel González Ordiano; Ralf Mikut; Veit Hagenmeyer; Timm Faulwasser (CoRR, 2018)

Concept and benchmark results for Big Data energy forecasting based on Apache Spark. - Jorge Ángel González Ordiano; Andreas Bartschat; Nicole Ludwig 002; Eric Braun; Simon Waczowicz; Nicolas Renkamp; Nico Peter; Clemens Düpmeier; Ralf Mikut; Veit Hagenmeyer (J. Big Data, 2018)

Energy forecasting tools and services. - Jorge Ángel González Ordiano; Simon Waczowicz; Veit Hagenmeyer; Ralf Mikut (WIREs Data Mining Knowl. Discov., 2018)

Probabilistic Energy Forecasting using Quantile Regressions based on a new Nearest Neighbors Quantile Filter. - Jorge Ángel González Ordiano; Lutz Gröll; Ralf Mikut; Veit Hagenmeyer (CoRR, 2019)

New Data-Driven Probabilistic Forecasting Methods with Applications in Energy Systems - Jorge Ángel González Ordiano (2019)

On the Analysis of Illicit Supply Networks Using Variable State Resolution-Markov Chains. - Jorge Ángel González Ordiano; Lisa Finn; Anthony Winterlich; Gary Moloney; Steven Simske (IPMU (1), 2020)

A Method for Estimating Driving Factors of Illicit Trade Using Node Embeddings and Clustering. - Jorge Ángel González Ordiano; Lisa Finn; Anthony Winterlich; Gary Moloney; Steven Simske (MCPR, 2020)

Validation of a Drought Index Based on Smos Soil Moisture Product Over An Agricultural Area in Central Mexico. - Enrique Zempoaltécatl-Ramirez; Alejandro Monsiváis-Huertero; José Emilio Quíroz-Ibarra; Jorge Ángel González Ordiano (IGARSS, 2021)

Probabilistic Solar Power Forecasting: Long Short-Term Memory Network vs Simpler Approaches. - Vinayak Sharma 001; Jorge Ángel González Ordiano; Ralf Mikut; Umit Cali (CoRR, 2021)

Impact Evaluation of Multimodal Information on Sentiment Analysis. - Luis N. Zúñiga-Morales; Jorge Ángel González Ordiano; José Emilio Quíroz-Ibarra; Steven J. Simske (MICAI (2), 2022)

Assessment of The Nasa SMAP Soil Moisture Product Over a Semi-Arid Agricultural Region in Mexico. - Alejandro Monsiváis-Huertero; Enrique Zempoaltécatl-Ramirez; Héctor Ernesto Huerta-Batiz; Daniel Enrique Constantino-Recillas; Roberto Cotero-Manzo; Juan Carlos Hernández-Sánchez; José Emilio Quíroz-Ibarra; Jorge Ángel González Ordiano; Abisay García-Sánchez; Gerardo Rodríguez-Ortiz; Rodrigo Florencio da Silva; Víctor Manuel Saúce-Rangel; et al. (IGARSS, 2023)

Towards Automatic Principles of Persuasion Detection Using Machine Learning Approach. - Lázaro Bustio-Martínez; Vitali Herrera-Semenets; Juan-Luis García-Mendoza; Jorge Ángel González Ordiano; Luis N. Zúñiga-Morales; Rubén Sánchez-Rivero; José Emilio Quíroz-Ibarra; Pedro Antonio Santander-Molina; Jan van den Berg; Davide Buscaldi (IWAIPR, 2023)

Unmasking Phishing Attempts: A Study on Detection in Spanish Emails. - Vitali Herrera-Semenets; Lázaro Bustio-Martínez; Yamel Pérez Guadarramas; Jorge Ángel González Ordiano; Jan van den Berg (CIARP (2), 2024)

Tax Underreporting Detection Using an Unsupervised Learning Approach. - Vitali Herrera-Semenets; Lázaro Bustio-Martínez; Jorge Ángel González Ordiano; Jan van den Berg (MICAI (2), 2024)

Uncovering phishing attacks using principles of persuasion analysis. - Lázaro Bustio-Martínez; Vitali Herrera-Semenets; Juan-Luis García-Mendoza; Miguel Ángel Álvarez-Carmona; Jorge Ángel González Ordiano; Luis N. Zúñiga-Morales; José Emilio Quíroz-Ibarra; Pedro Antonio Santander-Molina; Jan van den Berg (J. Netw. Comput. Appl., 2024)

Machine learning framework for country image analysis. - Luis N. Zúñiga-Morales; Jorge Ángel González Ordiano; José Emilio Quíroz-Ibarra; César Villanueva Rivas (J. Comput. Soc. Sci., 2024)