Abstract
With more sources of monitoring coming on-line, manual analysis of the raw data becomes increasingly infeasible. Data analytics can provide the toolset for automated decision support for utility engineers, helping to unlock the potential of network data. This chapter will focus on when and how data analytics can support transmission and distribution engineers in various job functions. Some particular applications are considered first, highlighting what role analytics can play and how this benefits the utility. Then, the enabling technologies for data analytics are discussed, exploring the links with fields such as data science and Big Data. Finally, the chapter concludes with various case studies of transmission and distribution data analytics in practice, and draws out some key design and deployment challenges overcome in each case.
| Original language | English |
|---|---|
| Title of host publication | Smart Grid Handbook |
| Editors | Chen-Ching Liu, Stephen McArthur, Seung-Jae Lee |
| Place of Publication | Chichester, West Sussex |
| Pages | 1487-1505 |
| Number of pages | 19 |
| Volume | 3 |
| Publication status | Published - 15 Jul 2016 |
Keywords
- smart power grids
- data analytics
- data science