| Title |
Poster abstract: Big Data beats engineering in residential energy performance assessment—a case study
|
|---|---|
| Published in |
SICS Software-Intensive Cyber-Physical Systems, September 2017
|
| DOI | 10.1007/s00450-017-0365-4 |
| Authors |
Gilbert Fridgen, Florian Guggenmos, Christian Regal, Marco Schmidt |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 50% |
| Luxembourg | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 13 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 23% |
| Researcher | 2 | 15% |
| Student > Doctoral Student | 1 | 8% |
| Other | 1 | 8% |
| Professor | 1 | 8% |
| Other | 1 | 8% |
| Unknown | 4 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 3 | 23% |
| Business, Management and Accounting | 2 | 15% |
| Computer Science | 2 | 15% |
| Arts and Humanities | 1 | 8% |
| Nursing and Health Professions | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 4 | 31% |