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Software . 2019
License: http://www.apache.org/licenses/LICENSE-2.0
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Software . 2019
License: http://www.apache.org/licenses/LICENSE-2.0
Data sources: Datacite
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Software . 2019
License: http://www.apache.org/licenses/LICENSE-2.0
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Software . 2019
Data sources: Datacite
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Software . 2019
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Claim

Supporting data for: An Approach to Calculate Electricity Costs for the German Industry for a System Efficient Design by Combining Energy Efficiency and Demand Response

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 09 Apr 2019Publisher:Zenodo
Authors: Stöckl, Martin;

doi: 10.5281/zenodo.3375219 , 10.5281/zenodo.2633768 , 10.5281/zenodo.2633767 , 10.5281/zenodo.3530598

Supporting data for: An Approach to Calculate Electricity Costs for the German Industry for a System Efficient Design by Combining Energy Efficiency and Demand Response

Abstract

This collection contains supporting data (source code and flowcharts) for the article: Martin Stöckl, Volker Selleneit, Matthias Philipp, Uwe Holzhammer (2019): "An Approach to Calculate Electricity Costs for the German Industry for a System Efficient Design by Combining Energy Efficiency and Demand Response" For active development of the software see: https://gitlab.com/stoecklm/eleccosts The project is supported by funds of the Federal Ministry of Food and Agriculture (BMEL) based on a decision of the Parliament of the Federal Republic of Germany via the Federal Office for Agriculture and Food (BLE) under the innovation support programme.

Keywords

System Efficiency, Electricity Costs, Python

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selected citations
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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!
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