LIRNEasia is celebrating its 10th anniversary.
See our story here.


Broadband Policy Course in Nepal: Applications are being called for Nepali citizens residing in the country to participate in the course held from 28th to 31st March 2015. For more details see announcement.

Predicting energy consumption using telecom and electricity Big Data

As part of electricity work LIRNEasia has made recommendations on the importance of DSM in Sri Lanka. Effective DSM is not possible without smart meters and that was an important part of the message, when we were invited by the Colombo Electricity Board (CEB) to share our research with their senior management.

So it was with great interest that I perused the research of one of the winning finalists  from a Big Data Challenge conducted by Telecom Italia (and partners) with data pertaining to the territories of Milan and of the Autonomous Province of Trento in Italy. The datasets covered telecommunications, energy, weather, public and private transport, social networks and events.

The researchers utilized smart meter data and behavioral data extracted from the Telecom Italia’s transaction generated data to predict peak daily energy consumption and also the average daily energy consumption for each line through the electrical grid of the Trentino Province.

More details HERE.

Search

Research Mailing List

Enter your email for research updates:

Login

Flickr Photos