Webinar: ‘Smart Meter Value’

Webinar: ’Smart Meter Value’

Benefiting From A Greater Customer Understanding

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Thursday, 4/24/14 @ 1pm EST

 

Most utilities; whether municipal, co-ops or IOUs; are becoming Meter Data-Centric, but are not seeing the customer value.  Metro Resources is holding a webinar to demo their utility data tools and show how they are driving customer value from smart meter data, thus Smart Meter Value (SMV).

 

Using US case studies, Metro Resources will show you how we are creating central customer databases from smart meter, external planning and utility customer data sources using our utility data model.

 

In the webinar, Metro Resources will demo our Smart Meter Value tools that enable utilities to gain a much deeper understanding of their customer base through:

  • Customer Segmentation
  • Residential, Commercial and Industrial scenarios
  • Energy counseling or Energy Completions

We will explain our SMV Live Analytics Trial approach. In a trial:

  • We build your central customer repository at no cost, risk to you or time from your FTE’s
  • You segment your customer, and you can work with customers on energy comparisons/savings
  • You will see the value of SMV by seeing your customers differently

Attend the webinar and you will see for yourself how your utility can deliver on customer value from Smart Meter Data.

Speakers:

  • Paul Grabham, CEO,
    Metro Resources Inc.
  • Dan Pirato, Customer Engineer,
    Metro Resources Inc
  • Warren B. Causey, President,Warren B. Causey, Ltd.

 

Schedule:

This webinar will consist of 30 minutes of demo & explanation, followed by 30 minutes of questions from utility participants.  Questions during this period will be taken only from utility participants, not from vendor representatives.

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Bring Analytics To The Developing Utility Skills Shortage

Canada’s minister of employment and social development recently highlighted mismatches between available employee skills and needs in the electricity industry.  The U.S. faces a similar problem.  While “renewable” energy has gotten a lot of hype, especially from the federal government, traditional utility skills for things like substations, poles, wires and even technical/computer-related employees are lacking.

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Despite the fact that there remains a great deal of under- and un-employment in the U.S. from the “great recession”  (the government doesn’t count people who have given up looking for a job in it’s unemployment stats), the fairly technical skills utilities need still are relatively hard to find.

 

What utilities need to do is use advanced analytics on the employment/skills issue, just as they would any other technical or business problem.  If you know where you are, what’s needed, and what’s available out there, you have a better chance of fixing the problem before it becomes even more serious.  Analytics are ready for the challenge.

-Warren B. Causey

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Utility CIOs Should Already Be Using The Cloud

Most people probably don’t realize how much they’re already using the cloud services of some sort; even last generation’s utility CIOs probably have music, books, or even their pictures in the cloud.  For example, if you buy digital books from Amazon, your originals are automatically stored there for you in case you need to find it again.  With that being said, you download a copy to your mobile device or reader, and you keep a copy on your computer, but the original remains stored in the cloud for you.  You can access them there from anywhere you want, and even replace a missing copy if you ever lose it!

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Similarly, many people store their music in various cloud locations where it is accessible from any device.  Some us even do all of our banking virtually in the cloud; I know I do.  I don’t even get cancelled checks back, and in fact use written checks very rarely these days.  But if I want to see one, I have to go into the cloud to look at it.

 

What has happened, whether deliberately or not, is that most of us have migrated many of our important pieces of data to the cloud.  That trend is likely to continue as more and more analytics are moved to the cloud.  Cloud storage is cheap, secure and effective.  If it’s good enough for your books, music and banking, it’s surely good enough for your analytics without the need for massive in-house server farms.  I’ll be participating in a webinar with Metro Resources on cloud analytics storage at 1 p.m. Thursday, Dec. 12.  Join us by registering here.

–Warren B. Causey

 

Register here for our next Webinar!

Register here for our next Webinar!

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Register For Our Latest Utility Analytics Webinar Here!

Metro Resources presents

Demos of Customer Segmentation &

Energy Counseling as a Service

Thursday, 12/12/13 @ 1pm

Register here for our latest Webinar!

Register here for our latest Webinar!

A lot of utilities jumped to adopting smart meters without asking a few big questions first, such as ‘how can I combine smart meter data with data from other sources to get the most out of it?’  Metro Resources will show you how to drive value from Smart Meter Data in order to directly impact your utility company!

Are you extracting the most Smart Meter Value?

Are you extracting the most Smart Meter Value?

This webinar will demonstrate how you can:

  1. Segment Residential customers to provide Energy Counseling and improve the marketing of energy programs
  2. Enable Commercial Demand Side Management competitions to develop better consumption habits
  3. Improve business management with your industrial customers.

 

Speakers:

  • Dan Pirato, Customer Engineer at BI@S
  • Warren B. Causey, president, Warren B. Causey, Ltd.

 

When Metro Resources provides these services, we come to the table with data that has already been analyzed and modeled.  After the webinar you will be able to sign up for a FREE TRIAL that will show you real Smart Meter Value!

 

Register here for our latest Webinar!

Register here for our latest Webinar!

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Analytics & Environment Require Utilities To Change Mindsets

The advent of advanced analytics offers tremendous opportunities for utilities in challenging times.  The times are challenging because of political decisions being made in national and state capitals around the world.  A lot of those decisions relate to environmental issues and those decisions have broad effects on utilities.

 

Do you remember where you put those solar panels?

Do you remember where you put those solar panels?

One of the major issues utilities always have faced is having less than comprehensive inventories of their assets.  Too often, they have relied upon long-experienced staff to know what facilities are in what locations, their conditions and their maintenance/replacement needs.  With an aging/retiring workforce, relying upon such experience no longer is viable.

 

What utilities have begun to do, but need to accelerate if they hope to survive in today’s rapidly changing business environment, is reduce all the accumulated knowledge of field crews and staff into detailed lists providing a comprehensive database against which advanced analytics can be applied.  Yes, the industry faces mega-issues with the Global Warming scare, reduced consumption, U.S. federal government hyper-activity in generation.  But a major part of the solution to these mega-trends, is to have the minute data needed to understand the effect of these trends on assets, replacement costs, budgeting trends, etc.  In other words, they know there is a forest out there, count the trees, their types, age, health, height, number of leaves, etc.  Then put advanced analytics to work determining how to help deal with the forest.

–Warren B. Causey

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Utilities Still Have A Ways To Go With Analytics

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I had the privilege of attending Energy Central’s Utility Analytics Institute conference in Atlanta the week of Sept. 23.  It was an interesting and enlightening conference.  Here are some of the interesting tidbits I picked up while I was there:

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  • A number of the speakers made remarks that indicate utility analytics is still an evolving field. Yes, utilities are drowning in “big data” from AMI, but they still are making relative baby steps toward making effective use of those data.  As one speaker noted, five years ago 41 percent of utilities didn’t even track data. Today, only 13 percent of them are collecting 15 terabytes per day.  They’re drowning in data, but are still relatively early in utilizing all those data.
  • One speaker said utilities are still transitioning from AMI implementation to analytics.  Data analytics and visualization are among their top concerns.
  • Three of four utilities believe they are doing unique data-oriented applications.  Examples include: AMI outage data shows up on field crew devices; field crews have the ability to perform on-demand reads on AMI Meters; half of utilities feel they’re ready to mine data, five years out, 75% thought they would be ready.
  • There are a lot of unique analytics applications, few standardized ones.

In other words, utilities still have a good long ways to go before they get their arms completely around the new analytics world.  But it is a journey that is essential to their survival long-term given federal activities making traditional generation and distribution more difficult.

 

Warren B. Causey

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Waffle House analytics for storms

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Most southerners are aware that our ubiquitous Waffle House restaurants are a leading indicator of how bad and widespread a weather phenomena may be.  Waffle Houses are 24-hour operations and most of them have backup power.  In times of storms they often are the only refuge for people who have to be out and about, most other places may be closed.

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This phenomenon is so serious that more than 10 years ago, emergency managers noticed it and began using it as an indicator of what they were facing.  There was a three-way code developed for Waffle Houses, green for fully open, yellow for limited menu and red for closed.  If a Waffle House is closed, it’s definitely a “red” indicator for the community.

 

It’s interesting the indicators that can be tracked by analytics.  Popular Science has an article in its November issue that includes the Waffle House indicator as well as a number of other “off-the-wall” ones tracked.  For example, economists at Vanderbilt University used the price of Big Macs to “evaluate economic differences among countries that use the Euro and those that use their own currencies.”

 

Analytics indicators are everywhere.  It’s interesting that data scientists are catching up to them with modern technology.  We southerners already knew if the Waffle House wasn’t open, it was a very bad day indeed!

–Warren B. Causey

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