Searched for: department%3A%22Electrical%255C%252BSustainable%255C%252BEnergy%22
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Morales-España, G. (author), Davidson, M. (author), Ramírez-Elizondo, L. (author), De Weerdt, M.M. (author)
This document is an online companion for the paper "Robust Unit Commitment with Dispatchable Wind: An LP Reformulation of the Second-stage".
report 2015
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Electrical Sustainable Energy Department (author)
In the present deliverable, the results of the workshop ‘UMBRELLA Workshop on Optimized Solutions’ and ‘UMBRELLA Workshop on System State Modelling and Toolbox Design’ are summarized. The workshops were both hosted at ENTSO-E’s premises on October 22, 2013 and October 23rd, 2014 with a total number of 15 and 33 registered participants...
report 2015
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Electrical Sustainable Energy Department (author)
In the present deliverable, the results of the second common ‘Workshop on intermediate results’, co-organized by UMBRELLA and iTesla projects are summarized. The workshop was hosted at ENTSO-E’s premises on January 14th, 2014 with a total number of some 80 registered participants including experts from industry, academia and regulatory bodies.
report 2014
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Electrical Sustainable Energy Department (author)
This deliverable presents the results of the first common workshop, co-organized by UMBRELLA and iTesla projects. The workshop title is ‘Innovative tools needed for future and stable system operation’. The main focus of this common workshop is on the information exchange about the objectives, dissemination, key drivers of UMBRELLA and iTesla and...
report 2012
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Electrical Sustainable Energy Department (author)
In the present deliverable, the dissemination strategy of the UMBRELLA project is discussed. The strategy is focused on the website, newsletter, workshops and attendance of conferences.
report 2012
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Bajracharya, G. (author), Koltunowicz, T. (author), Negenborn, R.R. (author), Papp, Z. (author), Djairam, D. (author), De Schutter, B. (author), Smit, J.J. (author)
In this paper, a model predictive framework is used to optimize the operation and maintenance actions of power system equipment based on the predicted health sate of this equipment. In particular, this framework is used to predict the health state of transformers based on their usage. The health state of a transformer is hereby given by the hot...
report 2009
Searched for: department%3A%22Electrical%255C%252BSustainable%255C%252BEnergy%22
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