Views provided by UsageCounts
This dataset is a supplement to the master thesis "Developing scenarios for future residential heating supply in an urban context with a case study in Augsburg" at the Technical University of Munich. These data are the optimization results of urbs-MIP, which is an energy optimization tool of the Chair of Renewable and Sustainable Energy Systems (URL: https://github.com/tum-ens/urbs). With this data, a large heat storage was assumed as given.
| selected citations These citations are derived from selected sources. 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). | 0 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 4 |

Views provided by UsageCounts