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Smarter energy grid

Case Study on How AI, IoT, and Big Data are transforming power grids.

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BACKGROUND

The Problem

As climate change causes more adverse weather conditions, it challenges our ability to produce electricity and effectively fulfill demand. Energy providers are forced to change how they monitor, manage and distribute electricity. In order to thrive under these ever-changing conditions, companies are increasingly looking to AI, IoT, and Big Data in order to use real-time data to monitor power usage, predict power demand, and automate power distribution while avoiding outages and blown transformers.

Our Solution

The smart grid represents unprecedented opportunities that can put the energy industry into a new era of reliability, availability, and efficiency, which will contribute to our economic and environmental health.

Powered by AI, Big Data, and IoT, the system makes an intelligent energy grid. The benefits brought to the client were.

  1. More efficient distribution of electricity
  2. Reduced utility operation and management costs up to 70%; ultimately lowering electricity costs
  3. Enhanced reliability of power systems, by reducing more than 90% unexpected power outage risk.
  4. Reduced the risk of environmental pollution by reducing more than 65% of online demand for highly polluting generation facilities.

ABOUT THE AUTHORS

  • Andrew Zhang is one of the leading experts in Artificial Intelligence, Machine Learning, Deep Neural Networks, as well as IoT, and Blockchain integration. He also holds a Ph.D. in Computer Science. Serving as the CTO at Kinestry, Andrew leads a long-term technology vision, and is responsible for the applied AI programs, industry thought leadership, and advanced technology application. Prior to his current role, Andrew worked as a research fellow at Stanford University, an AI expert at Sharp Corporation on leading AI-powered systems connected to IoT devices for preventive maintenance; and Head of AI at HB, a leading behavioral AI FinTech company.
  • Jay serves as the Head of Marketing, where he leads AI education to prepare organizations for the Future of Work through Human-Centered Design best practices. He spent the last 5 years working as a branding and digital marketing strategist for organizations from nonprofits and startups to retail and finance. Prior to Kinestry, Jay worked as a Lead Digital Marketing Consultant at Epiphany and Variable, where he was responsible for designing and developing CX-driven automation systems.