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Dataset . 2022
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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
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Supporting Information - Estimating thermal energy loads in remote and northern communities to facilitate a net-zero transition

Authors: Maynard, Ian; Abdulla, Ahmed;

Supporting Information - Estimating thermal energy loads in remote and northern communities to facilitate a net-zero transition

Abstract

This file accompanies "A method for estimating thermal energy loads in Canada’s remote and northern communities" by Ian Maynard and Ahmed Abdulla. This supporting information contains: Calculations and thermal loads of 40 communities discussed in the above paper Heating Degree Hour (HDH) distribution calculations Diagnostics and dataset used for developing a model for predicting annual and monthly thermal loads using ordinary least squares regression

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Keywords

remote communities, thermal loads, net-zero transition, space heating, off-diesel initiative

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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).
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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.
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