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Jorge Ángel González-Ordiano
Jorge Ángel González-Ordiano
Universidad Iberoamericana Ciudad de México
Verified email at ibero.mx
Title
Cited by
Cited by
Year
On the use of probabilistic forecasts in scheduling of renewable energy sources coupled to storages
RR Appino, JÁ González Ordiano, R Mikut, T Faulwasser, V Hagenmeyer
Applied energy 210, 1207-1218, 2018
852018
Energy forecasting tools and services
JÁ González Ordiano, S Waczowicz, V Hagenmeyer, R Mikut
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 8 (2 …, 2018
372018
The MATLAB toolbox SciXMiner: User's manual and programmer's guide
R Mikut, A Bartschat, W Doneit, JÁ González Ordiano, B Schott, ...
arXiv preprint arXiv:1704.03298, 2017
362017
Photovoltaic power forecasting using simple data-driven models without weather data
JÁ González Ordiano, S Waczowicz, M Reischl, R Mikut, V Hagenmeyer
Computer Science-Research and Development 32 (1-2), 237-246, 2017
322017
Evaluation of the droplet-microarray platform for high-throughput screening of suspension cells
AA Popova, C Depew, KM Permana, A Trubitsyn, R Peravali, ...
SLAS TECHNOLOGY: Translating Life Sciences Innovation 22 (2), 163-175, 2017
272017
Probabilistic energy forecasting using the nearest neighbors quantile filter and quantile regression
JÁ González Ordiano, L Gröll, R Mikut, V Hagenmeyer
International Journal of Forecasting 36 (2), 310-323, 2020
222020
Nearest-neighbor based non-parametric probabilistic forecasting with applications in photovoltaic systems
JÁ González Ordiano, W Doneit, S Waczowicz, L Gröll, R Mikut, ...
arXiv preprint arXiv:1701.06463, 2017
222017
Reliable dispatch of renewable generation via charging of time-varying PEV populations
RR Appino, M Munoz-Ortiz, JÁ González Ordiano, R Mikut, ...
IEEE Transactions on Power Systems 34 (2), 1558-1568, 2019
202019
Numerical Weather Prediction Data Free Solar Power Forecasting with Neural Networks
V Sharma, U Cali, V Hagenmeyer, R Mikut, JÁ González Ordiano
Proceedings of the Ninth International Conference on Future Energy Systems …, 2018
162018
Concept and benchmark results for Big Data energy forecasting based on Apache Spark
JÁ González Ordiano, A Bartschat, N Ludwig, E Braun, S Waczowicz, ...
Journal of Big Data 5 (1), 11, 2018
152018
Towards coding strategies for forecasting-based scheduling in smart grids and the energy lab 2.0
W Jakob, JÁ González Ordiano, N Ludwig, R Mikut, V Hagenmeyer
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2017
102017
Storage scheduling with stochastic uncertainties: Feasibility and cost of imbalances
RR Appino, JÁ González Ordiano, R Mikut, V Hagenmeyer, T Faulwasser
2018 Power Systems Computation Conference (PSCC), 1-7, 2018
92018
Energy-based stochastic MPC for integrated electricity-hydrogen VPP in real-time markets
RR Appino, H Wang, JÁ González Ordiano, T Faulwasser, R Mikut, ...
Electric Power Systems Research, 106738, 2021
42021
A Method for Estimating Driving Factors of Illicit Trade Using Node Embeddings and Clustering
JÁ González Ordiano, L Finn, A Winterlich, G Moloney, S Simske
Mexican Conference on Pattern Recognition, 231-241, 2020
32020
Probabilistic forecasts of the distribution grid state using data-driven forecasts and probabilistic power flow
JÁ González-Ordiano, T Mühlpfordt, E Braun, J Liu, H Çakmak, ...
Applied Energy 302, 117498, 2021
22021
Probabilistic Solar Power Forecasting: Long Short-Term Memory Network vs Simpler Approaches
V Sharma, JÁ González Ordiano, R Mikut, U Cali
arXiv preprint arXiv:2101.08236, 2021
22021
On the Analysis of Illicit Supply Networks Using Variable State Resolution-Markov Chains
JÁ González Ordiano, L Finn, A Winterlich, G Moloney, S Simske
International Conference on Information Processing and Management of …, 2020
22020
Assessment of a scheduling strategy for dispatching prosumption of an industrial campus
RR Appino, JÁ González Ordiano, N Munzke, R Mikut, T Faulwasser, ...
International ETG-Congress 2019; ETG Symposium, 1-6, 2019
22019
New Data-driven Probabilistic Forecasting Methods with Applications in Energy Systems
JÁ González Ordiano
Karlsruher Institut für Technologie (KIT), 2019
1*2019
Demand Response clustering: Automatically finding optimal cluster hyper-parameter values
S Waczowicz, N Ludwig, JÁ González Ordiano, R Mikut, V Hagenmeyer
Proceedings of the Ninth International Conference on Future Energy Systems …, 2018
12018
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