Enhancing Energy Efficiency with AI: Maplewells Approach  | Intel Software @IntelDevs
Enhancing Energy Efficiency with AI: Maplewells Approach  | Intel Software  @IntelDevs
Uploaded January 2025 | Updated September 2026, 2 weeks ago
In this video, Matthew Irvin, founder of Maplewell Energy, shares how their cutting-edge AI platform, JANiiT, is revolutionizing energy demand management for commercial and industrial buildings. By utilizing distributed battery storage, JANiiT unlocks demand flexibility, creating significant energy savings, generating grid service revenue, and improving overall energy resiliency. The platform integrates grid optimization and predictive control to help solar developers, facility managers, and distribution system operators effectively predict and manage peak demand, addressing key industry challenges like interconnection delays, peak demand charges, and infrastructure constraints.
Maplewell’s collaboration with Intel® Liftoff has been a game changer, providing access to Intel’s advanced hardware and cloud solutions, including the Intel® Tiber™ Developer Cloud. This partnership enables Maplewell to enhance their forecasting capabilities, using state-of-the-art large language models (LLMs) like AWS’s Chronos LLM to improve time-series data accuracy by 25%. Through this innovative approach, Maplewell is helping businesses and utilities optimize energy consumption while reducing costs and enhancing grid stability. This video showcases how AI, cloud computing, and Intel’s cutting-edge technology are shaping the future of energy management.

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