Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Valery Manokhin"'
Autor:
Vadim Omelčenko, Valery Manokhin
Publikováno v:
Frontiers in Energy Research, Vol 9 (2021)
In this paper, we explore the optimization of virtual power plants (VPP), consisting of a portfolio of biogas power plants and a battery whose goal is to balance a wind park while maximizing their revenues. We operate under price and wind production
Externí odkaz:
https://doaj.org/article/6f3c0af4102b4deaba0fc1869de2b13b
Autor:
Valery Manokhin
This dissertation and study focused on one of the long-standing debates in the academia and business as to what drives firm performance. Following development of resource- based view the focus of strategic management has been shifting out of prescrip
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b20ef63431948f7c9f900719cd71c0f8
https://zenodo.org/record/6467155
https://zenodo.org/record/6467155
Autor:
Valery Manokhin
Commodity prices are very volatile which presents substantial challenges and uncertainty for the global economy. In 2014 oil prices experienced substantial decline due to a combination of economic and geo-political factors. Organization of the Petrol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aeee888cf34dd0634c19ac52ff5bdcac
Autor:
Vadim Omelčenko, Valery Manokhin
Publikováno v:
Handbook of Smart Energy Systems ISBN: 9783030723224
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5fd48e2263b5844f5e07f7e941b34371
https://doi.org/10.1007/978-3-030-72322-4_179-1
https://doi.org/10.1007/978-3-030-72322-4_179-1
Autor:
Valery Manokhin, Vadim Omelčenko
Publikováno v:
Frontiers in Energy Research, Vol 9 (2021)
In this paper, we explore the optimization of virtual power plants (VPP), consisting of a portfolio of biogas power plants and a battery whose goal is to balance a wind park while maximizing their revenues. We operate under price and wind production
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b788ce3538a1e39e58908b0c88390924
https://doi.org/10.3389/fenrg.2021.665295
https://doi.org/10.3389/fenrg.2021.665295
Autor:
Valery Manokhin
Elevate your machine learning skills using the Conformal Prediction framework for uncertainty quantification. Dive into unique strategies, overcome real-world challenges, and become confident and precise with forecasting.Key FeaturesMaster Conformal
Publikováno v:
Machine Learning
This paper applies conformal prediction to derive predictive distributions that are valid under a nonparametric assumption. Namely, we introduce and explore predictive distribution functions that always satisfy a natural property of validity in terms
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ca64f9fff624c676b13fc0ac9dfefc9
https://doi.org/10.1007/s10994-018-5755-8
https://doi.org/10.1007/s10994-018-5755-8
Conformal predictive systems are a recent modification of conformal predictors that output, in regression problems, probability distributions for labels of test observations rather than set predictions. The extra information provided by conformal pre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::67f253395c6ea1c1543f767c04b20c52
http://arxiv.org/abs/1911.00941
http://arxiv.org/abs/1911.00941
Autor:
Valery Manokhin
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319994918
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::38129eb6135b436dba46c16df9929e89
https://doi.org/10.1007/978-3-319-99492-5
https://doi.org/10.1007/978-3-319-99492-5
Publikováno v:
Braverman Readings in Machine Learning. Key Ideas from Inception to Current State ISBN: 9783319994918
Braverman Readings in Machine Learning
Braverman Readings in Machine Learning
This paper reviews the checkered history of predictive distributions in statistics and discusses two developments, one from recent literature and the other new. The first development is bringing predictive distributions into machine learning, whose e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af98114574eb435ddf9f5c8f3211a54f
https://doi.org/10.1007/978-3-319-99492-5_4
https://doi.org/10.1007/978-3-319-99492-5_4