Trading and Risk

Coronavirus Power Demand Destruction Forecasting 101

byRob Allerman

When the coronavirus power load demand destruction began appearing in Enverus Trading & Risk’s daily ISO load forecasts, our team had to quickly tackle a new set of realities.

Just like businesses all over the world, we were faced with never-before-seen scenarios as a result of the nationwide shutdowns. Our machine learning-based forecasting tools have never learned the demand dynamics at play—nor had our team. We put our heads together and quickly came up with a plan—and a way to measure the demand destruction for our customers.

First, a primer on our typical standard operating procedure: our machine learning models look at actual temperature and power demand data from previous days and weeks, learning as it goes. The models were built to respond to load growth or anything that may be happening in the market.

This presented a minor challenge. The model was suddenly forced to predict demand in a scenario where it had no historical data to compute. Our customers were understanding that it would take several days for the model to absorb new data and relearn the market. We had customers reach out and ask us how they can track the demand destruction underway.

The solution

We launched a new model that knows what the temperatures were for the load from February 2019 to February 2020. But it doesn’t know anything that’s been happening over the last month.

Below is the first look at the results of our study—just a few days since launch. Now that we are running those two load forecasts in parallel (one that’s learning the demand destruction, and one that isn’t) you will be able to see the difference between the two loads, and you can identify the level of demand destruction.

What’s happening in ERCOT, the Texas power market?

We have measured little to no demand destruction due to the coronavirus and governments implementing policies to reduce the virus in ERCOT. However, we are starting to detect some demand destruction over the last couple of days. When comparing similar pre-COVID-19 temperatures, we are detecting 1-3% demand destruction.

In NYISO, the New York power market, it’s a different story …

In NYISO, it’s a different story. We have detected demand destruction starting early last week. When comparing similar pre-COVID-19 temperatures, we are detecting 10-15% demand destruction.

Helping power market participants in a time of need

Power trading liquidity has fallen amid the uncertainty around the coronavirus pandemic. We’d like to offer you free access to this analysis in our twice-daily reports during this tough time.

We are all in this together, and we look forward to continuing to help power traders and analysts make the best decisions for their businesses, even in trying and uncertain times. Sign up here to get access to our new demand destruction load forecasts, which we are offering to you on a complimentary basis.

Picture of Rob Allerman

Rob Allerman

Rob Allerman is Senior Director of Power Analytics at Enverus. Before joining Enverus, Rob was Head of North America Power Analytics at EDF Power Trading in Houston, Texas, and spent many years as a power analyst at Deutsche Bank. Rob also worked in the western U.S. for nearly 10 years at Power Utilities and started his career as a Hydrologist for the Federal Government.

Subscribe to the Enverus Blog

A weekly update on the latest “no-fluff” insight and analysis of the energy industry.

Related Content
data-center-demand
Energy Transition
ByChris Griggs

ChargePoint and Optimus expand EV fast charging infrastructure across the Southeast, adding 200+ public fast chargers to retail and QSR sites.

Enverus press release: Bolstering the Bakken’s twilight years
Operators
ByEnverus

Learn how leading non-op teams use data infrastructure, AFE benchmarking and portfolio analytics to improve non-operated joint venture management.

Enverus Intelligence® Research Press Release - Surge in clean energy demand intensifies market competition
Financial Services
ByColton Wright

Developers and investors can't compare gas, solar, and storage using separate models. Here's what a standardized cross-asset framework actually requires.

Enverus Press Release - No pain, no gain: Short-term headwinds for natural gas could bring beneficial long-term tailwinds
Minerals
ByTemi Oyetayo

Learn how reservoir engineers and consultants review automated decline curves, adjust assumptions and export defensible oil and gas forecasts.

Enverus Press Release - Seeing the ceiling: Maximizing output for today’s natural gas-fired grid
Operators
ByEnverus

Learn how operators price AFEs, why estimates can differ from actual costs, and how non-ops can use JIB benchmarks before making a consent decision.

Enverus_Press_Release_Fundamental_Edge_1Q25_Thumbnail
Business Automation
ByIan Elchitz

Most upstream operators run competitive sourcing events, but event-driven sourcing rarely becomes strategic. Learn how Enverus RFx drives sourcing strategy.

EPC Segment PV
Generative AI Other
ByAkash Sharma

Probabilistic AI doesn't calculate — it pattern-matches. Learn why AI explainability is the standard energy teams need to trust AI adoption.

Enverus Media Advisory - Trump vs. Harris: A tale of two energy policies
Minerals
BySilas Martin

Running title leaves no room for shortcuts, but a workflow can be faster. Learn how AI helps independent landmen close more projects without changing standards.

enverus-interconnection-queue-2025
Energy Transition
ByBrynna Foley, Enverus Intelligence® Research

National Grid’s $1.75B stake in Joulent highlights greenfield gas plant economics and why JV, PPAs, and M&A beat standalone builds.

Let’s get started!

We’ll follow up right away to show you a quick product tour.

Let’s get started!

We’ll follow up right away to show you a quick product tour.

Sign up for our Blog

Ready to Subscribe?

Ready to Get Started?