Technical deep dives, industry analysis, and company updates from the GridMind team.
We explore how attention mechanisms in our temporal transformer architecture capture long-range dependencies in grid telemetry that traditional time-series models fundamentally miss.
The Corporate Sustainability Reporting Directive is reshaping energy compliance. We break down exactly what Article 8 requires and how AI can automate the reporting burden.
A technical walkthrough of our GPU inference optimization pipeline — from PyTorch training to TensorRT production deployment with ONNX Runtime at substation level.
How we designed a federated learning architecture that lets 17 utility networks share intelligence without ever exposing raw grid data across organizational boundaries.
320 TWh of clean energy was wasted globally in 2024 due to poor grid timing. We analyze the root causes and present data on how predictive optimization changes the economics.
We're announcing our Series B led by Breakthrough Energy Ventures. This capital accelerates our R&D roadmap and expansion into European and Asia-Pacific markets.