Title: A Study of Big Data Analysis with Electric Power Demand and Some Kinds of Weather Information

Year of Publication: Nov - 2016
Page Numbers: 170-174
Authors: Shinya Hara, Masakazu Kyokane, Yoshiro Imai, Kazuaki Ando, Koji Kagawa, Yusuke Kawakami, Tetsuo Hattori
Conference Name: The Second International Conference on Electronics and Software Science (ICESS2016)
- Japan


Nowadays, data mining and so-called “Big Data Analysis” becomes more and more popular and useful in our social lives. We have already tried to apply techniques of data mining into some fields in order to visualize normally unknown or veiled relation. This time, we have focused on electric power demand, which is one of the indices or barometers of social lives. And we want to know and visualize how such electric power demand has been affected by the effect of environmental condition. With consideration of some districts such as Hokkaido, Tokyo and Shikoku, our focused demands above have been visualized by means of relations with weather information as environmental conditions.