Grid Vision: Smarter Energy Decisions, Faster Execution #shorts

2 Oct 2026 · 2 min

Watch on YouTube

2:28

The video presents Grid Vision’s decision workspace, a product designed to help energy planners make evidence‑based investment choices. Users sign in, load a single decision with two or three candidate paths (e.g., a 120 MW AI load in MISO with an Alpha path at an existing 161 kV substation and a Beta path at a new 345 kV tap). Every input is entered as one fact per line and is explicitly labeled as a fact, an assumption, or an unknown, with its source attached—no inference or invented data is allowed. The intake form is pre‑filled from prior conversation and each value must be confirmed. Formal analysis runs only on an authorized network snapshot; if none exists the system reports “not ready” instead of using sample data. For management review, an executive decision report is generated that plainly states the method, uses rule‑based cost and schedule screens (not utility figures), compares alternatives on a common basis, and shows evidence coverage for each option; the full record can be exported as a PDF. Operational context is added via ERCOT Live telemetry, which pulls public dashboard feeds (grid condition, demand, fuel mix, settlement point prices) every 60 seconds, each tile showing source, as‑of time, and fetch time, while remaining separate from the core Q‑data. Formal utility, ISO, and engineering studies remain authoritative. Overall, Grid Vision structures evidence, records decisions, and turns uncertainty into an execution plan.

Chapters

They need to know where to invest, what to advance and when to walk away before the next study deposit, engineering commitment or land option is spent. Sign in and you land in the decision workspace. There is no dashboard to decode. You bring one decision, with 2 or 3 candidate paths. A decision starter drafts the case for you. A 120 megawatt AI load in Miso. Path Alpha at an existing 161 kV substation. Path Beta at a new 345 kV tap. One fact per line and you edit before you send. The answer leads with the management disposition. Here it is review: Insufficient evidence for a defensible ranking. 11 user-supplied facts, 1 assumption, 5 unknown. Every dimension, capacity, schedule, cost, distance, land, permitting, and study status is labeled as a fact, an assumption, or an unknown with its origin attached. Nothing is inferred. Nothing is invented. Uncertainty becomes an execution plan. The intake is prefilled from the conversation, and every value must be confirmed. A formal analysis runs only on an authorized network snapshot. When there is not one, it says not ready rather than substituting sample data. For management review, the executive decision report states its method plainly. Cost and schedule are rule-based screening estimates, not utility figures. Alternatives are compared on a common basis with evidence coverage shown for each option, and the whole record exports as a PDF. For operational context, ERCOT Live reads ERCOT public dashboard feeds without credentials. Grid condition and demand against committed and available capacity. Each tile carries its source, its as-of time, and its fetch time. Fuel mix and settlement point prices refresh every 60 seconds. It is telemetry for context. Clearly separated from Q data. Formal utility, ISO, and engineering studies stay authoritative. Grid Vision structures the evidence and records the decision.