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IoT Acceleration Lab to Hold the Third Big Data Analysis Contest

The IoT Acceleration Lab  has been tasked with the creation and public implementation of advanced projects using IoT. As one of the efforts, it decided to hold an event titled the “Third Big Data Analysis Contest” and will launch a call for applicants on October 2, 2017. We are looking forward to receiving your application.

1. Purpose

With the technological advent of IoT, AI and big data, the structures of industries and society itself are seeing significant changes. In response to this situation, the IoT Acceleration Lab aims to create advanced projects utilizing IoT in Japan and to publicly implement the results. To this end, it has been undertaking various efforts, including the review of necessary regulations and relevant systems, demonstration projects for the development of necessary environments (e.g., stipulating new rules across industries), and the feasibility study on which these efforts are premised.

As one of its efforts, the IoT Acceleration Lab has been holding the Big Data Analysis Contest, aiming to create case examples of entities that utilize big data as well as to cultivate and foster relevant human resources. It held the first contest focusing on the field of tourism from December 2015 to January 2016, and the second contest focusing on the field of distribution and retailing from July to August 2016.

The IoT Acceleration Lab hereby announces that it will hold the Third Big Data Analysis Contest focusing on the fields of electricity and meteorology. In the contest, participants will compete online against each other in the development of algorithms, tackling big data provided by Tokyo Electric Power Company Holdings, Inc. and the Japan Meteorological Agency, and also data-analysis assignments utilizing big data. In the contest, winners will be selected and recognized for their development of outstanding algorithms with excellent predictive accuracy and modeling ideas, and also for their ability to produce visual representations of data through the utilization of big data analysis. We are looking forward to receiving your applications

2. Outline of the contest

Organizers

Co-organizers:
The IoT Acceleration Lab, METI, and the New Energy and Industrial Technology Development Organization (NEDO)
Support organizations:
The Ministry of Education, Culture, Sports, Science and Technology, the Japan Meteorological Agency, the Japan Photovoltaic Energy Association (JPEA), the Weather Business Promotion Consortium, and the Center for Artificial Intelligence Research (C-AIR), University of Tsukuba
Designer and operator:
OPT Works Inc., and OPT Holding, Inc.

Period of the contest

From October 2 (Mon.) to December 21 (Thur.), 2017

Commendation ceremony

Scheduled from late February to mid-March 2018

Field

Electricity and meteorology

Categories

(1) Prediction
Assignment:
Prediction of electricity output generated at photovoltaic power plants
Assessment method:
Utilizing assessment functionality to score the accuracy of predictions, and screening by examiners
(2) Visualization
Assignment:
Storytelling taking advantage of approaches to making data visualizations
Assessment method:
Screening by examiners

Data to be used

  • Data on electricity output (provided by Tokyo Electric Power Company Holdings, Inc.)

Data on electricity output (kWh) from Ukishima Solar Power Station, Ohgishima Power Station, and Mt. Komekura Solar Power Plant, which are aggregated in 10-minute units from January 1, 2012, to December 31, 2015

  • Data on weather forecasting (provided by the Japan Meteorological Agency)

Data on weather forecasting targeting the Eastern area of Kanagawa Prefecture and the Mid and Western areas of Yamanashi Prefecture from January 1, 2012, to March 31, 2017

  • Data from AMeDAS (provided by the Japan Meteorological Agency)

Statistical data on AMeDAS-based observation values collected from 1,252 observation points across Japan from January 1, 2012, to March 31, 2017, aggregated in 10-minute units, and information on local areas of the observatories.

  • Surface meteorological observation data (provided by the Japan Meteorological Agency)

Statistical data on observation values collected from 155 meteorological observatories across Japan from January 1, 2012, to March 31, 2017, aggregated by 10-minute unit, and information on local areas of the observatories.

Admission

Free

Eligibility and how to apply

Please visit the website for the third big data analysis contest to fill out an application form.

*Note:The IoT Acceleration Lab is an organization operated through industry-academia-government collaboration that aims to cultivate advanced IoT projects selected from the viewpoint of the three principle of the IoT Acceleration Lab: potential of growth and leadership, dissemination potential (openness), and commitment to society; provide the selected projects with thorough support in terms of collaboration with enterprises, finance and regulations; and develop environments in which the results of the projects are implemented on a large scale in the form of regulatory reforms or creation of new systems.
In FY2017, this contest will be held as part of the efforts under the NEDO Project for the Development of Infrastructures for Creating New Industrial Models Taking Advantage of IoT: Study for Creating and Promoting Innovative Industrial Models.
For further details, visit the official website of IoT Accreditation Lab.

Release date

October 2, 2017

Division in Charge

IT Innovation Division & Information Economy Division, Commerce and Information Policy Bureau

Related website

Ministry of Economy, Trade and Industry1-3-1 Kasumigaseki, Chiyoda-ku, Tokyo 100-8901, Japan Tel: +81-(0)3-3501-1511
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