Features & Opinions
The grid gets smarter with predictive analytics
A robust analytics framework helps utilities make sense of granular data in near real time. Our expert makes a business case for service-oriented architecture (SOA)-based predictive analytics to transform grid operations, in EnergyPulse.
The components of a flexible and scalable next-generation analytical solution include:
- Key performance indicators (KPIs) to drive improvement
- An enterprise information model for data management
- Integrated enterprise applications that support an enterprise service bus (ESB) for seamless process flow
- Modern database machines that combine data warehouse and online transaction processing for cost-effective data storage and access
Published with permission of EnergyPulse
Subroto Kar, Practice Manager, Oracle – Energy, Utility and Services practice, Infosys
Subroto has more than 25 years of experience in IT strategies and next-generation solutions for energy, utilities and services (EUS) companies. A regular speaker at international conferences, Subroto is on the panel of judges of several forums, including the Oracle Applications User Group (OAUG) UK. He can be reached at
Should analytics be a strategic system in smart grid initiatives?