Elizabeth Cook

VP of Technical Strategy, AEIC · 1 appearance on the record.

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Dr. Elizabeth Cook is a power systems expert who leads grid modernization and operational transformation across the electric utility sector. Before joining the AEIC leadership team, she directed advanced grid systems and modernization initiatives at Duquesne Light Company.

6statements → 6claims → 1claims resolved → 3.67/5average certainty → 1.5/5average debate potential →

0 supported 0 partly supported 1 contradicted 5 not checkable as stated how the 6 claims stand · each chip opens the sources

6 assertions · every statement was checked. The predictions and assertions are the 6 claims: statements the public record can support or contradict. 1 is resolved, and 5 name no date, number or outcome precise enough to check. Everything else (opinions, insights, what ifs, disclosures) can never be settled by the record, so it carries no assessment.

The record, in short

What the tape says about how Elizabeth argues and how the claims held up. Everything they said, and everything said about them, is in the tabs below.

Their most notable contradicted claim

Assertion Contradicted
Cook: Duquesne Light mapped secondary topology across all 600,000 meters
“So he, and with the collaboration of his whole team, successfully rolled out our secondary topology identification of our meter-to-meter transformers across all 600,000 meters.”
Elizabeth Cook Jun 29, 2023 ▶ 41:53 Will poor data hold back the potential of AI on the grid?

Everything Elizabeth Cook said on the Green Blueprint that made the record, most notable first. Filter by type, assessment or year in the ledger →

Assertion Not checkable as stated
Cook: Most electric utilities lack secondary grid topology mapping
“Not many utilities have their secondary modeled. Not many utilities know exactly which customers are connected to which transformer and which transformer is connected To which circuit, and which circuit is connected to which substation.”
Elizabeth Cook Jun 29, 2023 ▶ 42:09 Will poor data hold back the potential of AI on the grid?
Assertion Not checkable as stated
Cook: Grid transmission analytics still rely on 1970s computational models
“Transmission is three-phase, balanced power flow that requires a very different set of equations to run those analytics, and we're really tied to, Really computational systems that were built in the seventies by some generator experts that really built out the…”
Elizabeth Cook Jun 29, 2023 ▶ 19:43 Will poor data hold back the potential of AI on the grid?
Assertion Not checkable as stated
Cook: Only 30% of utility distribution systems are currently fully modeled
“Now I would say 10 years ago, there's probably like 10%. I think we're probably maybe, you know, up to 30% of the systems that are fully built in the distribution.”
Elizabeth Cook Jun 29, 2023 ▶ 31:32 Will poor data hold back the potential of AI on the grid?
Assertion Not checkable as stated
Cook: Utility mapped grid in GIS, modeled 63% of power flow
“We did a whole LiDAR distribution system and uploaded seven million points, and now we have an asset associated database in GIS, which means we have a whole distribution system modeled in GIS. Our next step is making those models power flow models. We have abo…”
Elizabeth Cook Jun 29, 2023 ▶ 30:23 Will poor data hold back the potential of AI on the grid?
Assertion Contradicted
Cook: Duquesne Light mapped secondary topology across all 600,000 meters
“So he, and with the collaboration of his whole team, successfully rolled out our secondary topology identification of our meter-to-meter transformers across all 600,000 meters.”
Elizabeth Cook Jun 29, 2023 ▶ 41:53 Will poor data hold back the potential of AI on the grid?
Assertion Not checkable as stated
Cook: New Python-proficient hire retrieved 9-month-old elusive grid data in one day
“I hired a new employee. I floated it by. He knew Python, and within one day, he extracted this data that I've been looking for like nine months.”
Elizabeth Cook Jun 29, 2023 ▶ 51:13 Will poor data hold back the potential of AI on the grid?

Appearances (1)

EpisodeDateSpeaking time
Will poor data hold back the potential of AI on the grid? Jun 29, 2023 19m
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