Intelen integrates Continental Control Systems smart meters
Intelen Inc. announced today the complete integration of Continental Control Systems’ WattNode® Modbus® meter onto its energy monitoring and engagement platforms, bringing up the number of major energy metering brands the company can readily draw data from, to four.
Intelen Platinum Sponsor of the Networked Grid 2013, moving to New York and announcing US entry and products
Intelen, the leading start-up in building analytics and game mechanics applications for energy efficiency, announces that the company will be the Platinum sponsor for the upcoming Networked Grid event (March 19-21) in Los Angeles, produced by Greentechmedia.
The Networked Grid 2013 will bring together an unprecedented number of forward-thinking utility executives and industry visionaries to discuss this market evolution. It is also the only conference that brings together all of the research of the smart grid practice of GTM Research.
Intelen raises a new post-seed round of $360K for US expansion reaching a total of $1,3M funding
Intelen, Inc., a New York-based startup offering SaaS products for building analytics and engagement through gamification for C&I customers, received a post-seed investment of $360K by a group of undisclosed Angel Investors. The money will be used to sustain Intelen’s growth and for US market expansion.
Behavioral engineering for building analytics (R&D paper by Intelen)
Recent advances on energy metering and energy efficient equipments have been partially adopted in public and residential buildings. Informing the public, and especially the primary and secondary education community, about energy-efficient behavior and the new energy-related technologies usually requires significant time, effort and resources, possibly more than the ones a typical organization is willing or able to spare.
Data Fusion theory for smart grids (R&D white paper by Intelen)
One of the main problems of modern Big Data theory applied to the energy domain, is that we need to extract correlations and combine variable states and situations in real-time. Those correlations are nor static but dynamic and are extremely difficult to be tracked in billions of streaming data. A stochastic building consumption that represents a customer can be correlated in the time-domain with other consumptions (thousands of them) but this may happen in one specific time-slot throughout a day or a week.