| 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 | 115 | 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 | 56 | 2018 |
| 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 | 49 | 2017 |
| 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 | 41 | 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 | 34 | 2020 |
| 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 | 31 | 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 | 25 | 2019 |
| 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 | 22 | 2017 |
| 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 | 20 | 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 | 17 | 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 | 13 | 2021 |
| 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 | 13 | 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 | 12 | 2018 |
| 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 | 11 | 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 | 5 | 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 | 4 | 2020 |
| 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 | 3 | 2020 |
| Impact evaluation of multimodal information on sentiment analysis LN Zúńiga-Morales, JÁ González-Ordiano, JE Quiroz-Ibarra, SJ Simske Mexican International Conference on Artificial Intelligence, 18-29, 2022 | 2 | 2022 |
| 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 | 2 | 2019 |
| New Data-driven Probabilistic Forecasting Methods with Applications in Energy Systems JÁ González Ordiano Karlsruher Institut für Technologie (KIT), 2019 | 1* | 2019 |
Ralf MikutKarlsruhe Institute of Technology (Germany)Verified email at kit.edu
