AI Building Energy Modeling
AI-enhanced building energy simulation and modeling for design optimization
The Problem
“Slow, costly building energy modeling limits decisions”
Organizations face these key challenges:
High cost and long lead times to build and calibrate accurate energy models for each building, especially when drawings and equipment inventories are incomplete
Inconsistent results across modelers and tools, making retrofit prioritization and savings guarantees risky for owners, utilities, and ESCOs
Difficulty maintaining valid baselines as operations, occupancy, weather, and controls change, leading to disputed savings and missed anomalies
Impact When Solved
Real-World Use Cases
AI in Energy Industry: Smart Grid Optimization and Energy Management
This is like giving the entire power system—power plants, grids, and large customers—a real‑time ‘autopilot’ that constantly predicts demand, reroutes electricity, and tunes equipment so you use less fuel, waste less energy, and keep the lights on more reliably.
Artificial Intelligence for Energy Systems
Think of this as a playbook of AI tricks for running power systems—generation, grids, and consumption—more like a smart thermostat and less like a manual on/off switch. It applies machine learning to decide how much power to produce, when to store it, and how to route it so the overall system is cheaper, cleaner, and more reliable.