Smart Grids provide many benefits for society. Reliability, observability across the
energy distribution system and the exchange of information between devices are just
some of the features that make Smart Grids so attractive. One of the main products of
a Smart Grid is to data. The amount of data available nowadays increases fast and carries
several kinds of information. Smart metres allow engineers to perform multiple
measurements and analyse such data. For example, information about consumption,
power quality and digital protection, among others, can be extracted. However, the main
challenge in extracting information from data arises from the data quality. In fact, many
sectors of the society can benefit from such data. Hence, this information needs to be
properly stored and readily available. In this chapter, we will address the main concepts
involving Technology Information, Data Mining, Big Data and CLustering for deploying
information on Smart Grids.
標(biāo)簽：
Processing
Cities
Smart
Data
in
上傳時間：
2020-05-23
上傳用戶：shancjb
Smart Grids provide many benefits for society. Reliability, observability across the
energy distribution system and the exchange of information between devices are just
some of the features that make Smart Grids so attractive. One of the main products of
a Smart Grid is to data. The amount of data available nowadays increases fast and carries
several kinds of information. Smart metres allow engineers to perform multiple
measurements and analyse such data. For example, information about consumption,
power quality and digital protection, among others, can be extracted. However, the main
challenge in extracting information from data arises from the data quality. In fact, many
sectors of the society can benefit from such data. Hence, this information needs to be
properly stored and readily available. In this chapter, we will address the main concepts
involving Technology Information, Data Mining, Big Data and CLustering for deploying
information on Smart Grids.
標(biāo)簽：
Processing
Cities
Smart
Data
上傳時間：
2020-05-25
上傳用戶：shancjb
