GridPilot

AI-Powered Energy Optimization for Commercial Buildings Commercial buildings consume significant amounts of electricity, but many businesses lack the tools to understand where energy costs come from, identify potential improvements, or determine when equipment should operate to minimize expenses. GridPilot is an AI-assisted energy decision platform that combines Meta AI with mathematical optimization to help businesses make smarter electricity decisions. How it works: 1. Users enter information about their building, operating hours, equipment, energy consumption, and business goals. 2. The Meta-powered Energy Advisor interprets business context, identifies relevant energy-saving opportunities, asks follow-up questions, and helps users explore improvements such as lighting upgrades, equipment shutdown, and flexible scheduling. 3. A deterministic Savings Engine estimates supported annual energy reductions, financial savings, and payback periods using explicit user-provided evidence and assumptions. 4. A Python optimization engine built with Google OR-Tools schedules EV charging and eligible flexible equipment around electricity prices, operating windows, and building power limits. 5. An interactive React dashboard displays modeled electricity costs, hourly demand, equipment schedules, and what-if scenarios so users can understand the tradeoffs between cost, energy use, and peak demand. Unlike a generic AI chatbot, GridPilot combines AI-guided decision-making with independently validated mathematical calculations. Meta AI helps users understand and explore decisions, while deterministic engines calculate outcomes and enforce physical constraints. GridPilot demonstrates how AI and optimization can make sophisticated energy planning more accessible to businesses without requiring specialized engineering knowledge. The current prototype uses modeled scenarios and user-supplied assumptions, not live utility-meter data or automated equipment control.