Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Tim Janke"'
Autor:
Tim Janke, Florian Steinke
Publikováno v:
Energies, Vol 12, Iss 22, p 4262 (2019)
The forecasting literature on intraday electricity markets is scarce and restricted to the analysis of volume-weighted average prices. These only admit a highly aggregated representation of the market. Instead, we propose to forecast the entire volum
Externí odkaz:
https://doaj.org/article/14e3959b91e24f3e81e67316e57d4c5e
Flexible district heating grids form an important part of future, low-carbon energy systems. We examine probabilistic state estimation in such grids, i.e., we aim to estimate the posterior probability distribution over all grid state variables such a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::db729cb1d14aeefa0759b010d11a5994
http://arxiv.org/abs/2305.15445
http://arxiv.org/abs/2305.15445
Autor:
Jan Maetschke, Judith Fulterer, Tim Janke, Alexander Zipfel, Lukas Bank, Philipp Theumer, Christopher Mundt, Nina Köster, Tim Kämpfer, Tammo Heuer, Tobias Hiller
Publikováno v:
Zeitschrift für wirtschaftlichen Fabrikbetrieb. 117:400-404
Vier deutsche produktionstechnische Institute, WZL, Fraunhofer IGCV, IPMT und IFA, haben sich zum fünften Mal zur Durchführung einer Studie zusammengeschlossen, um die aktuellen Entwicklungen der Produktionsplanung und -steuerung (PPS) in der Praxi
Autor:
Kai Müller, Daniel Buschmann, Simon Cramer, Chrismarie Enslin, Markus Fischer, Tim Janke, Marco Kemmerling, Lukas Pelzer, Mahsa Pourbafrani, Vladimir Samsonov, Peter Schlegel, Seth Schmitz, Marco Schopen, Robert Schmitt, Thomas Gries
Publikováno v:
Zeitschrift für wirtschaftlichen Fabrikbetrieb. 117:98-103
Den Kern des Exzellenzclusters Internet of Production bildet die domänen- und disziplinübergreifende Forschung in der Produktionstechnik. Der Fokus der Gruppe Short-Term Production Management liegt dabei insbesondere auf der Erhöhung von Entscheid
Statistical post-processing of ensemble forecasts has become a common practice in research to correct biases and errors in calibration. While many of the developments have been focused on univariate methods that calibrate the marginal distributions,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c567ec13a3a945e58c3d6b05358e6cb2
https://doi.org/10.5194/egusphere-egu22-921
https://doi.org/10.5194/egusphere-egu22-921
Autor:
John Angelopoulos, Alexandre Dolgui, Paul Arthur Dreyfus, Bogdan I. Epureanu, Robert X. Gao, Andreas Gützlaff, Dmitry Ivanov, Tim Janke, Matthias Jarke, Dimitris Kiritsis, István Koren, Gisela Lanza, Xingyu Li, Zhi Li, Dimitris Mourtzis, Aydin Nassehi, Henning Neumann, Nikos Panopoulos, Nikolaos Papakostas, Mirco Peron, Sina Peukert, Foivos Psarommatis, Aswin K. Ramasubramanian, Günther Schuh, Fabio Sgarbossa, Panagiotis Stavropoulos, Gwen Louis Steier, Zonggui Tian, Jinjiang Wang, Lihui Wang, Ray Y. Zhong
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::03a7feaf8b2e51c1633ba188f7bd21e7
https://doi.org/10.1016/b978-0-12-823657-4.09993-0
https://doi.org/10.1016/b978-0-12-823657-4.09993-0
Autor:
Florian Steinke, Tim Janke
Publikováno v:
2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS).
The reliable estimation of forecast uncertainties is crucial for risk-sensitive optimal decision making. In this paper, we propose implicit generative ensemble post-processing, a novel framework for multivariate probabilistic electricity price foreca
Publikováno v:
2019 16th International Conference on the European Energy Market (EEM).
To model future energy systems and their markets, it is important to understand the underlying dynamics of their components correctly. Common fundamental market models simulate power plant dispatch and rely on expert guesses for their parametrization
Publikováno v:
ISGT Europe
Understanding future power systems often requires the simulation of dispatch decisions under different external conditions. To this end, it is important to know plausible parameters for the dispatch model which is often formulated as a mixed integer