Yesterday Google announced the purchase of Nest, a company that makes “smart” thermostats. Why would Google pay such a handsome price ($3.2 billion) for something as prosaic as thermostats? In short, because these devices may represent the single largest untapped energy management opportunity available — something that many utilities probably would gladly pay for. Not to mention, smart thermostats also provide a way to bring energy management inside the home.
Full post on Siemens Smart Grid Watch blog: Google’s Nest acquisition brings the smart grid closer to home
Meter-to-cash (M2C) is one of the most common business justifications for deploying smart meters and meter data management (MDM) platforms. But MDM is much more than just M2C. MDM can comprise several strategies that help utilities increase revenues and reduce costs, not just through the billing system.
Last year the European Commission (part of the three-part EU government) published the 2012 Energy Efficiency Directive — which set legally binding measures to step up Member States’ efforts to use energy more efficiently at all stages, from production to distribution to consumption. Last week, the EC explained more about how to implement the EED, by issuing additional guidance on energy efficiency to Europe’s Member States on energy efficiency.
The value of energy data goes far beyond simple meter-to-cash billing improvements. New machine learning technology can help utilities spot patterns in energy data that can enhance operations, identify problems, aid long-term planning for assets and networks, and much more.
Machine learning algorithms can help utilities address with a broad range of practical and strategic questions, such as:
- Which customers are more likely to switch providers?
- Which meters are more likely to have problems?
- How to adapt grid operations to accommodate fluctuating levels of renewable resources?
This month, at European Utility Week, Krishan Gupta (Director of Product Management for eMeter, a Siemens business) will give a presentation exploring practical applications of recent advances in AMI analytics technology.
Smart meters can generate considerable data about how consumers use energy services. But who “owns” that data? This thorny issue makes it challenging to balance the consumer’s reasonable expectation of privacy with the utility’s goal of providing better service while enhancing grid operations.
This month, at European Utility Week, Larsh Johnson (Chief Technology Officer for eMeter, a Siemens business) will participate in a panel discussion exploring these issues…
The data generated by advanced metering infrastructure can quickly grow huge — both as more meters get rolled out, and as each meter generates a larger amount of data. So utilities need meter data management solutions that can scale up fast. To demonstrate that its EnergyIP MDM platform is up to this challenge, eMeter, a Siemens business, recently conducted a test proving that EnergyIP can easily handle scaling up to the data equivalent of 50 million smart meters.
That’s about as many meters as might be deployed across an entire small country. But some large utilities plan to run at that scale — either in terms of the number of meters, or collecting more sensor data from those meters…
Later this month in San Francisco, eMeter, a Siemens business, will offer a special three-day, hands-on workshop. Here utilities will learn how to use eMeter’s Analytics Foundation to solve problems and support core business goals. This course will cover some key aspects and capabilities of the latest version (1.2) of the Analytics Foundation package for Energy IP 7.X.