Open AccessConstruction of power data products based on STP theory
Author(s) -
Cai Bing,
Peng Chen
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/680/1/012035
Subject(s) - smart grid , market segmentation , computer science , grid , big data , power grid , profit (economics) , automation , industrial organization , power (physics) , data science , data mining , business , economics , marketing , microeconomics , electrical engineering , engineering , mechanical engineering , physics , geometry , mathematics , quantum mechanics
Under the background of digital revolution, the level of power grid intelligence and automation has been improved, and a large number of data of various types have been gathered. Through the analysis of multi-source data of power grid, the new profit growth point of power grid enterprises can be mined. In this paper, the “STP theory” is introduced into the power data commodity market. Through the in-depth analysis of the three elements of power data market segmentation, target market selection and market positioning, the power data product types facing different data trading objects, such as government, power grid itself, third-party enterprises and ordinary users, are constructed. This study will provide a basis for grid companies to explore new data business model.