OwnerJuly 2015 to presentEl Cerrito

Finding best available technologies for meeting energy needs today and tomorrow: energy efficiency, demand response,, solar, wind, electric vehicles, biofuels and smart grid. It’s all the innovations that make the energy we use more secure, clean, and affordable. The energy world's best hopes lie in what's happening in the digital realm, especially in data analytics.

Monday, September 21, 2015


Customer Domain - The National Institute of Standards and Technology released a common semantic model for the Smart Grid in June 2009 - NIST worked with standards development organizations to form a common representation of information models for the smart grid

Back to Smart Energy

Smart Meter Data Management
updated tuesday, february 2, 2016 
Now that utilities have millions of smart meters in place collecting data in near-to-real-time, the question of how to manage terabytes and petabytes of information will need to be solved. The software killer apps for Smart Grid operations at both utility and regional grid levels will be found in data analytics solutions.

Home Energy Management (HEM)
monday, september 21, 2015
Mass deployment of smart meters by utilities is creating new business opportunities for product developers and utilities. As energy plays a larger role in the lives of consumers, a wide range of new products and services will be developed to enable the market. Home Energy Management is becoming the “killer app” for home automation.

 Smart Meter Data Privacy
MONDAY, MAY 28, 2012
Utilities must take privacy and security concerns into account when designing AMI and must persuade consumers, regulators and politicians that privacy interests are adequately protected.

 Consumer Behavior Change
updated tuesday, february 2, 2016 
Not all consumers will be willing to learn about Smart Meters, analyze utility bills, pay for the upgrades or even care. The story will be a particularly hard sell during tough economic times.

 Real Time Feedback
saturday, may 26, 2012
People can’t see their impact at the point of use unless feedback is in their face. Ubiquitous information to consumers reduces peak energy use by 5-20%, depending on pricing and market design and the availability of end-use enabling technology.

 Smart Appliances
thursday, january 12, 2012
Prices to Devices sending time of use electricity price signals to each consumer’s end-use devices.

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