Holger Teichgräber

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Adam BrandtProfessor, Energy Science & Engineering, Stanford UniversityVerifisert e-postadresse på stanford.edu
Andre BardowProfessor of Energy & Process Systems Engineering, ETH ZurichVerifisert e-postadresse på ethz.ch
Nils BaumgärtnerDr.-Ing, Currenta GmbH & Co. OHGVerifisert e-postadresse på ltt.rwth-aachen.de
Nael H. El-FarraProfessor, UC Davis Chemical EngineeringVerifisert e-postadresse på ucdavis.edu
Xiaonan Wang (王笑楠)Tsinghua University & National University of SingaporeVerifisert e-postadresse på tsinghua.edu.cn
Ahmet PalazogluUC DavisVerifisert e-postadresse på ucdavis.edu
Martin RobiniusHead of Energy Policy and Systems @UmlautVerifisert e-postadresse på umlaut.com
Detlef StoltenProfessor at RWTH Aachen University and Director at Forschungszentrum Jülich, GermanyVerifisert e-postadresse på fz-juelich.de
Leander König-Kotzurminimum energy, Enerko, Forschungszentrum JülichVerifisert e-postadresse på minimum.energy
Phil BrodrickNASA's Jet Propulsion Laboratory, California Institute of TechnologyVerifisert e-postadresse på jpl.nasa.gov
Jennifer WilcoxPresidential Distinguished Professor of Chemical Engineering and Energy PolicyVerifisert e-postadresse på seas.upenn.edu
Mengyao YuanEnergy Technology and Systems Scientist, Lawrence Livermore National LaboratoryVerifisert e-postadresse på llnl.gov
Charles A. KangResFrac CorporationVerifisert e-postadresse på resfrac.com
Charles BarnhartAssociate Professor, Western Washington UniversityVerifisert e-postadresse på wwu.edu
Michael Carbajales-DaleEnergy-Economy-Environment (E3) Systems Analysis, Environmental Engineering & Earth SciencesVerifisert e-postadresse på clemson.edu
Sgouris SgouridisDirector Research ProgramsVerifisert e-postadresse på dewa.gov.ae
Eric P. GrimitHead of Science - North America, Vaisala Inc.Verifisert e-postadresse på vaisala.com

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Holger Teichgräber

Department of Energy Resources Engineering, Stanford University

Verifisert e-postadresse på stanford.edu - Startside

machine learning optimization energy systems


Tittel Sorter etter sitater Sorter etter år Sorter etter tittel	Sitert av Sitert av	År
Clustering methods to find representative periods for the optimization of energy systems: An initial framework and comparison H Teichgraeber, A Brandt Applied Energy 239, 1283-1293, 2019	267	2019
Time-series aggregation for the optimization of energy systems: Goals, challenges, approaches, and opportunities H Teichgraeber, AR Brandt Renewable and Sustainable Energy Reviews 157, 111984, 2022	105	2022
An economic receding horizon optimization approach for energy management in the chlor-alkali process with hybrid renewable energy generation X Wang, H Teichgraeber, A Palazoglu, NH El-Farra Journal of Process Control 24 (8), 1318-1327, 2014	90	2014
Extreme events in time series aggregation: A case study for optimal residential energy supply systems H Teichgraeber, C Lindenmeyer, N Baumgärtner, L Kotzur, D Stolten, ... Applied Energy 275 (2020), 115223, 2020	64	2020
Optimal design and operations of a flexible oxyfuel natural gas plant H Teichgraeber, PG Brodrick, AR Brandt Energy 141, 506-518, 2017	39	2017
Design and operations optimization of membrane-based flexible carbon capture M Yuan, H Teichgraeber, J Wilcox, AR Brandt International Journal of Greenhouse Gas Control 84, 154-163, 2019	38	2019
Optimal design of an electricity-intensive industrial facility subject to electricity price uncertainty: stochastic optimization and scenario reduction H Teichgraeber, AR Brandt Chemical Engineering Research and Design, 2020	29	2020
Designing reliable future energy systems by iteratively including extreme periods in time-series aggregation H Teichgraeber, LE Küpper, AR Brandt Applied Energy 304, 117696, 2021	27	2021
Wind data introduce error in time-series reduction for capacity expansion modelling LE Kuepper, H Teichgraeber, N Baumgärtner, A Bardow, AR Brandt Energy 256, 124467, 2022	18	2022
TimeSeriesClustering: An extensible framework in Julia H Teichgraeber, LE Kuepper, AR Brandt Journal of Open Source Software 4 (41), 1573, 2019	11	2019
Blow wind blow: Capital deployment in variable energy systems AR Brandt, H Teichgraeber, CA Kang, CJ Barnhart, MA Carbajales-Dale, ... Energy 224, 120198, 2021	6	2021
Identifying and Evaluating New Market Opportunities with Capacity Expansion Models H Teichgraeber, AR Brandt Stanford Clean Energy Finance Forum ( https://energy.stanford.edu/sites …, 2017	6	2017
CO2 vs Biomass: Identification of Environmentally Beneficial Processes for Platform Chemicals from Renewable Carbon Sources A Sternberg, H Teichgräber, P Voll, A Bardow Computer Aided Chemical Engineering 37, 1361-1366, 2015	6	2015
CapacityExpansion: A capacity expansion modeling framework in Julia LE Kuepper, H Teichgraeber, AR Brandt Journal of Open Source Software 5 (52), 2034, 2020	5	2020
Temporal resolution in energy systems optimization models H Teichgraeber Stanford University ( https://stacks.stanford.edu/file/druid:jh261zf4637 …, 2020	4	2020
Determining the value of more accurate wind power forecasting in global electricity markets P Storck, E Grimit, H Teichgraeber Proceedings of the EWEA Technical Workshop on Wind Power Forecasting, Leuven …, 2015	3	2015
Systems and methods for high voltage battery charging and vertiport operations A Clarabut, P Frihauf, BI Yalan, H Teichgraeber, MM ALTAYEB, ... US Patent App. 18/740,189, 2024		2024
The Interplay between Operations Research and Machine Learning A Subramanian, H Teichgraeber https://doi.org/10.1287/orms.2023.02.02, 2023		2023

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