Jorge Ángel González-Ordiano
Jorge Ángel González-Ordiano
Universidad Iberoamericana Ciudad de México
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Cited by
Cited by
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
New Data-driven Probabilistic Forecasting Methods with Applications in Energy Systems
JÁ González Ordiano
Karlsruher Institut für Technologie (KIT), 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
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