Tag Archives: Energy Data Management

Is #Data, Debt for your organisation? #EnergyAnalytics #EnergyProductivity

Couple of days back I recored my latest Podcast, which kind of touched upon the idea of having  definite #EnergyDataAnalytics (Data Analytics in general too) strategy which can lead to transformational change in the way an organisations wants to improve #EnergyProductivity.

This post is really about  questioning (reasoning) the current myths/practices that most organisations have in relation to their data strategy (Being from Energy Productivity space, ill focus around it)

  1. Been there, done that- Most organisations and Energy Managers in particular would certainly like to reason that they are doing enough with their data assets but thats not entirely true. Having an Energy Monitoring System (EMS) or an Energy Management Systems (EnMS) is one thing and having a definite #Energy data strategy is another thing.

    To be fair the ones who have the most successful or even evolving strategy, are the ones who would have tagged it along the overall digital transformation goals of the organisation.

  2. Can see it on my dashboard– Well the world has move much beyond dashboards, it’s time to move from real time data to onetime insights and call to actions. Significant amount of productive time (money as well) is lost in trying to interpret data points.

    Have an integrated system using #AI (algorithms for specific use case to mine data and generate specific insights) that enables your teams (energy managers, production managers) to collaborate better on insights and call to actions.

  3. Need investments to get started– If an organisation is really at the bottom of pyramid when it comes to the data landscape, its absolutely certain that investments would be required to get started with data acquisition etc.

    Idea is to maximise to whatever extent possible, overall value creation one could do from existing data assets. Being able to demonstrate a couple of PoCs (Proof of Concepts) or being able to solve even a few problem statements (getting close as well), can go a long way in influencing management to take decisions on #EDA strategy investments.

Your thoughts?

Best Regards,

Umesh Bhutoria.

 

 

#Utility #Startup engagement model- Things that will work!

This blog post is a follow up to the earlier one I did upon my return from the European Utility Week held last year in Amsterdam. Since then I have also been tracking some of the initiatives run by European Utilities in terms of startup engagement.

European Utilities (most if not all) have seem to got the formula right when it comes to engaging with startups (spotting opportunities). I think a lot of them have realised the importance of looking “outside” when it comes to acquiring new business line or developing something that helps them service their customers better.

Things that utilities in SE Asia and Asia Pacific region can learn?

  1. Open up– Instead of asking a startup what you can do for us, throw them a certain challenge or a problem statement. You know what to do when they accept the challenge and then go on to overcome that or solve the problem statement.
  2. Beyond barriers– Helps if a part of the organisation can go beyond barriers, think as if there is no box. Astounding that when utility professionals ( thats because of the available solutions) talk about customer engagement they often limit themselves to residential customers. For most utilities, consistent revenue stream would come from small, large and multi site businesses. If they can engage better with them or offer them suite of add on services, there is nothing like it. Startups are the perfect way to beta test that hypothesis, few top/difficult customers is all you need to get started.
  3. Embrace There are some ideas that can only be tested by trying, thinking too much on trying to justify the reason to do it, may not be beneficial. There is so much happening in the utility space that you never know what might as well work out better, there is always an edge if you have that “Ace” card. There are things that every company would do, there are things that you might want to launch as a market leader.

Would love to know your thoughts on the same?

Best Regards,

Umesh Bhutoria

How can governments do more with (tons of) Industrial #EnergyEfficiency related Data?

Earlier this month we hosted India’s first Energy Data Analytics Summit in Delhi, where one of the discussions led to some people asking “What can governments do with (tons of) Industrial #EnergyEfficiency related Data?

This question to me has a lot of significance. Just as the way all Governments use Health, Economy, Inflation, Education related data for greater good (social and economical), why treat Industrial #EnergyEfficiency related data differently? While one may argue that there is no precedence, but given the age in which we are living, we are seeing use cases evolve every day.

In this blog i intend to initiate dialogue on two of the use cases for greater use of Industrial #EnergyEfficiency related data and who stands to gain and how?

  • Bench-marking

Hard to believe that most industries/sectors do not yet have correct bench-marking methodology/tools available.  I am using the term “tool” here because industrial processes have a lot of variables and hence one cannot have a “number”, but there is no excuse to have not been able to develop a “tool” yet.

Will the government make the tool? NO. But they can open up the data for other solution/service providers, let them develop applications on it. Innovation can foster.

Contrary to what many believe “opening up data” doesn’t mean that anonymity can’t be maintained, there is no need to share raw data, connected insights/indicators could do a lot of good straight away. Mix of qualitative and quantitative data (derived output from raw data) allows enough room for innovation.

  • Investment Trend & Success

Fact that many governments have been collecting data on Industrial #EnergyEfficiency for over a couple of decades, allows them to keep track of investment trends, returns being yielded, % increase in efficiency YoY, which sector does well and which is lagging etc?

Governance can be simplified drastically if data is put to use. Its happening everywhere, there is no reason why Industrial #EnergyEfficiency has to be ignored. Designing Industrial #EnergyEfficiency policy w/o data points is not worth it.

Some of the other use cases could be:

  • AI driven assistance in Measurement & Verification (Example: PAT Scheme in India currently relies on 100% human driven verification process)
  • Predicting performance, forecasting demand supply situations instruments linked to Energy Efficiency Projects ( White Certificates/ Energy Saving Certificates/ ESCerts (PAT Scheme))

What’s your take on this? Would love to hear from you on “How your Government could do more with Industrial #EnergyEfficiency related Data?”

Regards,

Umesh

 

Micro Services in #IoT #EnergyAnalytics

Greetings of the day!

A year back i saw a video of Steve Singh, he was talking on the context of "micro-services" and how large technology companies want to leverage that to have more customers and more importantly more revenue/customer.

That's when we started to work on our Energy Efficiency Micro-Services Hub (releasing on 8th September, 2017 on the sidelines of #EDASummit17). We open up our existing IPs (via APIs) as we continue to focus on developing more such IPs.

Interestingly our first #B2B engagement based​ (Cement Sector) on #API pricing has got a green signal. Our efforts of enabling more value creation in the #IoT ecosystem gets a boost and encourages us to continue to take our top of the value chain approach.

I look forward to seeing you at #EDASummit17 and having an engaging discussion. Visit www.haveyouAIRed.com for more details/registration.

Best Regards,

Umesh Bhutoria

Shared Economy in #EnergyEfficiency Markets #DataHubs #OpenUp

Energy markets are transitioning fast; Energy Efficiency/Productivity is set to play much bigger role in the transitioning process. Energy Efficiency policies must reflect the new market sentiments and provide long term direction, which in most cases is found missing.

Different think tanks, development agencies and governments have sponsored/funded numerous studies and reports barriers to scaling Energy Efficiency and potential ways to overcome those barriers. The kind of data that has been collected over the areas has not been utilized adequately and is not digitally available.

Establishing central repositories and digitizing such data assets can help create better economic and social value out of data assets, information and insights that can be generated collectively could foster business model innovation, develop tools/applications to simplify energy efficiency, rationalize the cost of energy audits, encourage new age Entrepreneurs to leverage technology and #BigData to solve complex problems.

We have seen the impact of Shared economy in sectors like transportation, hospitality and media. It’s time that Energy Efficiency markets take a clue; open-up to create more value for every stakeholder.

Yours Sincerely,

Umesh Bhutoria

Podcast series on #EnergyManagement and #EnergyAnalytics exclusively for #CXOs

Over the last few years #EnergyEfficiency markets have evolved, calling for businesses/industries to provide more strategic importance to #EnergyManagement.
To assist #CXOs and #EnergyManagers understand the changes happening and the response they need to provide, E-Cube Energy has come up with a 6 series Podcast on Energy Management and Energy Analytics. Each episodes have been designed in a way to help address specific problems and provide certain call to action.
You can use the following links to listen to the Podcast series or sign up for the EDA clinic assistance on Energy Data Analytics
Call to Actions
  1. Are your #EnergyManagement strategy as per global best practices? –  Take the test!
  2. Want to scale your Energy Data Strategy but not sure how? – Sign up for Free EDA Clinic
  3. Heard the podcast, have some feedback for us? – Podcast Feedback Survey
Happy Analyzing!