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2 Posts authored by: jmatranga Employee

UC Davis wanted to look at additional information to be harvested from a single utility meter by breaking down the load measured by the meter into the component loads under the meter. In doing this UC Davis could avoid sub meters and retrofits to get increased 'visibility below the meter'.   The project proved quite valuable, even during debug phase,UC Davis group found a failing sump pump.  Left undetected, this would have resulted in an emergency repair of an expensive unit with some possible safety issues for flooding during the next rainfall.

 

In case you missed the "Maximize the Value of Each Existing Utility Meter" at the OSIosft User Conference talk in 2015 given by UC Davis - you can see it here:

2015 - Users Conference - San Francisco - Facilities, Energy and Water

 

so why blog this out now?

 

There is an ongoing conversation that has continued around this project.

The conversation now includes this blog post from Microsoft - check it here:

http://blogs.technet.com/b/machinelearning/archive/2016/01/20/cut-your-electricity-bill-energy-disaggregation-with-the-cortana-analytics-suite.aspx

 

I have had other universities interested in disaggregation of other high resolution data or the use of R for other analytic. 

If you find this interesting, you might find this blog by Microsoft interesting.

Please post here and continue to share.

John

I wanted to quickly share a nice report from MIT from their sustainability working group -

https://sustainability.mit.edu/sites/default/files/documents/SWGRecommendations-FinalSmall-11-30.pdf

 

It is quite short and a quick read, well worth the time to read and then to go back and study each set of words and the impact they share.

 

Some areas l like about this report lie in “Shared Principles” and the “Conditions for Success” sections.  What makes this interesting for me is that given the complex subject of “Sustainability” they distilled the key drivers and issues down to some clear points to guide actions in these two sections.

 

They continue this clear cutting view into the “Recommendations” section.  In the recommendations section, they picked areas that were specific to MIT to work on.  This provides a context and motivation to MIT that help make MIT a living lab to take action. Finally if you look at the appendix you will find a wide cross section of the interested people who helped form the ideas. These include both operations staff and academic staff working side by side to solve these issues. 

 

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