Summaries of main public technical deliverables will be available for download here. The full reports will be available upon request by filling the following form. Please state which deliverable you are requesting, give some details about who you are and what your activity mainly deals with, and explain why you may be interested by the plan4res deliverable.
D4.5 Public dataset and document 'how this data was built' (April 30, 2020 - pdf -
8.8 MB)
The plan4res models will be hosted on an IT platform which will provide seamless access to data and high-performance computing resources, catering for flexible models and workflows.
Therefore, a database of public data will be constructed, and three exemplary case studies will be performed to highlight the tool’s adequacy and relevance.
The objective of WP4 is to provide the needed input data to the Plan4Res tool. Datasets will be needed for the following uses: (i) perform the case studies defined in WP2; and (ii) provide a public data set within the format of the Plan4Res tool.
The present deliverable describes the public repository used to store public data as well as the data format, the transformations used in each case study, and the full process we applied to obtain the public data from the raw data.
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Therefore, a database of public data will be constructed, and three exemplary case studies will be performed to highlight the tool’s adequacy and relevance.
The objective of WP4 is to provide the needed input data to the Plan4Res tool. Datasets will be needed for the following uses: (i) perform the case studies defined in WP2; and (ii) provide a public data set within the format of the Plan4Res tool.
The present deliverable describes the public repository used to store public data as well as the data format, the transformations used in each case study, and the full process we applied to obtain the public data from the raw data.
D5.2 Decomposition (November 25, 2019 - pdf -
269.6 KB)
The aim of this document is to describe the basic algorithmic ideas of the decomposition-based primal heuristic and how specific
capabilities of the SMS++ framework allow it to be implemented in a flexible and general, yet efficient, way.
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capabilities of the SMS++ framework allow it to be implemented in a flexible and general, yet efficient, way.
D6.1 Specification for the plan4res Platform Implementation (May 2, 2019 - pdf -
255.3 KB)
This document is the general specification of all the components included in the plan4res platform
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D5.3 New version of the NDOSolver/FiOracle software (March 30, 2019 - pdf -
237.3 KB)
The NDOSolver/FiOracle C++ suite of NDO solvers, from the
Department of Computer Science of the University of Pisa, will be used for solving the large scale mathematical problems in plan4res using decomposition techniques and non differentiable optimisation
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Department of Computer Science of the University of Pisa, will be used for solving the large scale mathematical problems in plan4res using decomposition techniques and non differentiable optimisation
D5.2 New version of the StOpt library adapted to Plan4res framework (March 30, 2019 - pdf -
1.1 MB)
StOpt, an open-source library implemented by EDF, will be used for solving large seasonal storage problems, using the stochastic dual dynamic programming solver.
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D5.1 New Version of the SCIP Solver Adapted and Integrated in plan4res Platform (February 28, 2019 - pdf -
124.2 KB)
SCIP Optimization Suite will be used by plan4res planning and operational tools to solve LPs
and MIPs arising from optimization models of energy systems
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and MIPs arising from optimization models of energy systems
D2.1 Definition and requirements of three case studies - Public (December 21, 2018 - pdf -
895.5 KB)
Three case studies (CS) with European scope will be performed to show the adequacy and relevance of the developed tools and modelling framework and its interoperability.
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D3.1 Description of Model Interconnections - Public (April 30, 2018 - pdf -
924.9 KB)
The overall modeling framework consists of (partly) existing models and models that have to be developed in the course of this project. In D3.1, the
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