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ZENODO
Dataset . 2022
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ZENODO
Dataset . 2022
Data sources: Datacite
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ZENODO
Dataset . 2022
Data sources: Datacite
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Simulation Results of the Distributed Schedule Optimization with Energy Storages using EO-COHDA

Authors: Schrage, Rico;

Simulation Results of the Distributed Schedule Optimization with Energy Storages using EO-COHDA

Abstract

This dataset contains the result of the evaluation of an approach to integrate energy storages in distributed flexibility negotiations. The data was created using the implemented approach on https://gitlab.com/digitalized-energy-systems/models/eo-cohda. To work with this results we highly recommend to use eo-cohda as well, because it provides a lot convenient utility functions for this. The dataset has been divided in two parts: the result of the negotiation, format: hdf, readable using hdf-viewers/python the generated schedules of the energy storages used for the negotiation. format: binary, pickled real power schedules, readable using eo-cohda's utility methods.

Keywords

Distributed Negotiation Result, Smart Grid

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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1
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