SAIC and Zementis to bring “smarts” to the Smart Grid

October 23, 2009
57 Views

It seems that every tech blog or news I read these these days is talking about two things: Cloud Computing and the Smart Grid. Well, in here, I will be covering both topics and more. I “predict” you will find it interesting.

The Smart Grid is definitely where we should go as a nation and as a world that is faced with several challenges not only in terms of growing energy demand, but also global warming. Both need to be addressed at the same time. But, how can it be done? I am sure that there are many answers to this question, no matter what the answer is though, it must involve the modernization of our existing energy grid, or the advent of the smart grid.

But again, what makes a grid smart? Is a better and more efficient grid a smarter grid? Probably! However, to be better and more efficient, it needs to go further than sophisticated meters and sensors… and the enormous amount of data collected from them. How can data make the grid smarter? By collecting data from the grid on demand, one can make smarter decisions which in turn optimize the grid and make it truly intelligent. Turning this data into knowledge and acting upon it in real-time will provide the benefits that we are ..



It seems that every tech blog or news I read these these days is talking about two things: Cloud Computing and the Smart Grid. Well, in here, I will be covering both topics and more. I “predict” you will find it interesting.

The Smart Grid is definitely where we should go as a nation and as a world that is faced with several challenges not only in terms of growing energy demand, but also global warming. Both need to be addressed at the same time. But, how can it be done? I am sure that there are many answers to this question, no matter what the answer is though, it must involve the modernization of our existing energy grid, or the advent of the smart grid.

But again, what makes a grid smart? Is a better and more efficient grid a smarter grid? Probably! However, to be better and more efficient, it needs to go further than sophisticated meters and sensors… and the enormous amount of data collected from them. How can data make the grid smarter? By collecting data from the grid on demand, one can make smarter decisions which in turn optimize the grid and make it truly intelligent. Turning this data into knowledge and acting upon it in real-time will provide the benefits that we are seeking and lead to the power grid of the future that we envision.

Whenever we are overwhelmed by vast amounts of data, Predictive Analytics can help us make sense of it all. Do I mean using Artificial Intelligence (AI)? Yes! Predictive Analytics is a branch of AI which involves building statistical models that can learn patterns hidden in vast amounts of data and learn to detect the same patterns as they occur, enabling the grid to predict whenever non-optimal or unwanted conditions are about to occur. Forewarned is forearmed! These predictive models are then able to apply their knowledge of the grid to improve its performance. The range of applications is really only dependent on your imagination.

Zementis, a leading provider of predictive analytics solutions, recently launched its scoring engine on the Amazon Cloud. The ADAPA engine can be used from anywhere in the globe at anytime. It takes in raw data and produces intelligent decisions which can be embedded into grid applications.

Since ADAPA leverages Cloud Computing and Open Standards, it is able to deliver the “smarts” to the Smart Grid in a very efficient way. Cloud Computing moves hardware and software into a web-based, pay-as-you-go business model. This allows utility companies to leverage massive computer power and speed for a fraction of the traditional cost they would normally incur given all the necessary requirements.

SAIC and Zementis signed a Marketing Agreement. The two companies are now working together to deliver breakthrough predictive analytics solutions to utility companies. Zementis’ expertise combined with SAIC’s deep domain knowledge in the energy sector will help utility providers to be more efficient and agile in addressing all the challenges they face when moving to a truly smart grid.

Comprehensive blog featuring topics related to predictive analytics with an emphasis on open standards, Predictive Model Markup Language (PMML), cloud computing, as well as the deployment and integration of predictive models in any business process.

Link to original post

You may be interested

Big Data Revolution in Agriculture Industry: Opportunities and Challenges
Analytics
69 shares1,947 views
Analytics
69 shares1,947 views

Big Data Revolution in Agriculture Industry: Opportunities and Challenges

Kayla Matthews - July 24, 2017

Big data is all about efficiency. There are many types of data available, and many ways to use that information.…

How SAP Hana is Driving Big Data Startups
Big Data
298 shares3,200 views
Big Data
298 shares3,200 views

How SAP Hana is Driving Big Data Startups

Ryan Kh - July 20, 2017

The first version of SAP Hana was released in 2010, before Hadoop and other big data extraction tools were introduced.…

Data Erasing Software vs Physical Destruction: Sustainable Way of Data Deletion
Data Management
156 views
Data Management
156 views

Data Erasing Software vs Physical Destruction: Sustainable Way of Data Deletion

Manish Bhickta - July 20, 2017

Physical Data destruction techniques are efficient enough to destroy data, but they can never be considered eco-friendly. On the other…