Name
Title | ||
|---|---|---|
Energy consumption prediction using people dynamics derived from cellular network data. |
Abstract | ||
|---|---|---|
Energy efficiency is a key challenge for building sustainable societies. Due to growing populations, increasing incomes and the industrialization of developing countries, the world primary energy consumption is expected to increase annually by 1.6%. This scenario raises issues related to the increasing scarcity of natural resources, the accelerating pollution of the environment, and the looming threat of global climate change. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1140/epjds/s13688-016-0075-3 | EPJ Data Sci. |
Keywords | Field | DocType |
energy consumption prediction, mobile phone data, human dynamics, machine learning | Primary energy,Data science,Global warming,Scarcity,Efficient energy use,Computer science,Natural resource economics,Simulation,Developing country,Natural resource,Energy consumption,Industrialisation | Journal |
Volume | Issue | ISSN |
5 | 1 | 2193-1127 |
Citations | PageRank | References |
2 | 0.38 | 5 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andrey Bogomolov | 1 | 75 | 5.60 |
| Bruno Lepri | 2 | 981 | 72.52 |
| Roberto Larcher | 3 | 19 | 3.29 |
| Fabrizio Antonelli | 4 | 53 | 7.68 |
| Fabio Pianesi | 5 | 1109 | 88.84 |
| Alex Pentland | 6 | 18006 | 4853.13 |