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Pacific Energy Innovation Association

Mar 04, 2025
From 7:15 AM to 8:30 AM

Location BC Hydro Dunsmuir Auditorium333, Dunsmuir StreetVancouver, BC, V6B 5R4Canada
ContactPEIA

Bridging the Data Gap: Unlocking Grid Intelligence with Data Models

Presenter: Mischa Steiner, CEO and Founder of Awesense

 


Mischa is a visionary leader in the energy and technology sectors, currently serving as the CEO of Awesense, Inc. since 2010. Under his leadership, Awesense has pioneered grid modernization solutions, leveraging spatial and time-series data to provide deep insights and analytics for energy companies. Through its commitment to the environment, Awesense has helped remove over 2 million tons of CO2 from partnered utilities’ energy systems.


In addition to his role at Awesense, he serves on the Board of Directors for PROXXI Industrial Wearables Inc., where he helps drive the development of real-time, connected safety solutions for utility workers. He is also an advisory board member at Grid Forward, promoting smart grid innovation in the Pacific Northwest.


Previously, he held engineering and leadership roles at various companies, focusing on R&D, firmware, hardware, and software development for wireless and energy applications. His expertise spans executive management, technology innovation, and strategic business growth.
With a strong background in electrical engineering and a passion for sustainable energy solutions, Mischa continues to shape the future of smart grid technology and industrial safety.

Topic: Bridging the Data Gap: Unlocking Grid Intelligence with Data Models

The transition to a modern energy system requires clean, accurate, and actionable data. However, many utilities still struggle with fragmented and incomplete datasets. Awesense is revolutionizing the industry by creating a unified data model that enhances visibility, improves decision-making, and accelerates use case time-to-value. This session will cover how algorithmic-driven data cleansing and data model driven data warehouses are solving the biggest data challenges in energy.

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