Assertion Supported AI assessment confidence: 90% certainty 4/5 debate potential 1/5

Kelly: Solar was National Grid ESO's biggest demand forecasting uncertainty

Dr. Jack Kelly · AI in the real world: Solar forecasting, EVs, and virtual power plants · Nov 16, 2023 · at 6:56

Dr. Jack Kelly, co-founder of Open Climate Fix and former Google DeepMind engineer, recounts learning about grid operations challenges from a UK National Grid ESO employee.

0:00 / 0:06exact quote · 6.7s

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“The biggest source of uncertainty for their demand forecast came from their solar power forecast.”

quote is from the automated transcript, cleaned for reading: filler sounds and stutters are removed, nothing is rephrased. names can be misheard (the analysis reads context, assessments check outside sources). how →

The claim, plainly

Solar power forecasting was the largest source of uncertainty for UK National Grid ESO's electricity demand forecasts.

a quote alone can be ambiguous, so this restates it with the references and context of the conversation around it resolved. AI-written; the tape below the player is the source.

Assessment

The claim states that solar power forecasting was the largest source of uncertainty in National Grid ESO's electricity demand forecasts. This is corroborated by ESO technical documentation and ESO-funded Network Innovation Allowance (NIA) research. Specifically, an NIA Phase 3 thesis from the University of Sheffield (supervised in part by National Grid ESO) confirms that 'the most significant source of error in ESO's national demand forecast has been the uncertainty caused by embedded solar PV generation' due to unmetered transmission-level propagation. Additionally, formal ESO innovation project reports (such as NIA2_NGESO002) and statements from ESO officials describe embedded solar as a primary driver of net demand forecast error prior to and during the deployment of nowcasting models.

University of Sheffield / National Grid ESO NIA Phase 3 research (February 2021) explicitly stated: 'In recent years, the most significant source of error in ESO's national demand forecast has been the uncertainty caused by embedded solar PV generation.'
ESO's Electricity Network Innovation Strategy documentation confirmed that unmetered embedded solar was the dominant driver of daytime demand forecast errors, with operational tools like PV Live yielding immediate 15% reductions in daytime forecast error.
Project documentation for NIA Project 'Solar PV Nowcasting' (NIA2_NGESO002, started September 2021) confirmed baseline solar forecast errors of ~650 MW MAE directly impacting ESO demand and reserve balancing.

Checked against

[1] whiterose.ac.uk [2] whiterose.ac.uk [3] whiterose.ac.uk [4] ref.ac.uk [5] ref.ac.uk [6] neso.energy [7] neso.energy [8] neso.energy

"Solar PV Nowcasting" "National Grid ESO" NIA problem "most significant source of error in ESO's national demand forecast" Open Climate Fix "National Grid ESO" NIA solar PV demand forecast uncertainty "National Grid ESO" "demand forecast error" "solar" "wind" "Open Climate Fix" "National Grid ESO" "demand forecast" "uncertainty" solar

assessed as of 2026-09-02

This assessment is an AI reading of a public statement, made against the cited references with the confidence shown. It can be wrong. The quote, the tape and the references are all on this page; if something is off, use report an error below. full disclaimer →

Mentioned

National Grid ESO solar power forecast

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