With the world began to industrialized and the population grew, people used lots of fossil fuels like oil, coal and natural gas. Electrical power plants which depend on fossil fuels throw tons of pollutants, and ashes into the air. Therefore, it cause...
With the world began to industrialized and the population grew, people used lots of fossil fuels like oil, coal and natural gas. Electrical power plants which depend on fossil fuels throw tons of pollutants, and ashes into the air. Therefore, it causes serious environment pollutions and exhaustion of fossil fuels in the near future. Due to this situation, people feel that we need alternative energy for the fossil fuels.
The new and renewable energy is appointed as the alternative energy for fossil fuels. In order to use it efficiently, we need enough analyzation about the renewable energy data.
Renewable energy data is collected from USN (Ubiquitous Sensor Network) and it is a kind of stream data. The stream data has a characteristic of fast, continuous, and infinite. Therefore, it is not fit to process using data processing of traditional DBMS (DataBase Management System).
In this study, we use DSMS (Data Stream Management System) as alternative approach for processing the stream data of renewable energy data.