Data · dataset · 2019
Data for: Possibilities for wider investment in solar energy implementation
Listed in Teesside University Research Data Repository
Here are submitted all data used for MDLR model which is developed, enlarged and tested for ranking of the criteria for decision makers about wider investment in solar capacity: 1.
Description
Number of input variables is 8 2. Number and type of different input variables is changed till the level of explanation of the phenomenon reached min 95% and 3.
Level of significance of input variable reached min 95% 4. Impact of time cross section is research 5. Impact of extreme values on the model is analysed 6.
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Impact of FiT on the results is analyzed 7. Analyses of sensitivity is conducted 255 variants were calculated, for each cross section of 2010, 2013, 2015 and 2016 year, for conducted 9 combination for 95-105% variations around initial values of input variables, for 120-200% variations in feed in tariffs and for 4 combination of exclusion of the countries with extreme values, in order to test and prove stability of the developed MDLR model and validity of the results.
Developed model is tested on case study
Links
Where it is published
- DOI doi.org/10.17632/bgdg49c7hz.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Mathematics & Statistics · Social Science · Statistics
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/bgdg49c7hz.1 | 9 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:4905 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Statistics'] |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:mathematics-statistics | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license_text | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |