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May - July
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We’re back with a packed update featuring new product enhancements, data expansions, and forecasting improvements designed to give your team greater control, speed, and precision.

Release Notes

Trader 11.1.5

Product highlights at a glance

Act on updated and more accurate  High and  Medium probability Coincident Peak windows to match your risk and downtime targets.

Our IESO real-time forecasting is live; IESO DAM is next shortly in the next few months.

Thousands of new streams across PJM, CAISO, ERCOT, IESO, AESO, ISO-NE, SPP, Mexico, and EIA.

Unifying near real-time, high-frequency power market data at scale! Learn more below

Optimize asset utilization by leveraging AI forecasting integration to make strategic energy submissions, all while adhering strictly to ISO requirements, regulatory compliance, and operational integrity. Learn more from our Experts.

Lower Latency, steadier dispatch, better accuracy. Speak to our team.

What's new?

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Data Expansion: 210+ New streams added since last quarter

We’ve onboarded 210+ new streams across ERCOT,  forecasts, AESO, IESO, CAISO, PJM, ISO-NE, and NWS weather. The focus this cycle was deeper ERCOT nodal pricing and expanded forecasting coverage.

  • ERCOT - 173 Streams: 172 new nodal price series (each with DAM, RTD, RTM LMPs + Settlement) plus one 5-min transmission flow (300_TMPSW→TMPCR).
    Coverage spans BESS (e.g., ARY_BESS_RN, SLK_BESS_RN, PIN_BESS_RN), solar (BUZI_SLR_RN, MIDP_SLR_RN, NRTN_SLR_RN, PINN_SLR_RN, SHAW_SLR_RN), wind (HART_WND_RN), industrial/pun sets (DOWGEN_PUN4/5/6), and more.

    ERCOT (Forecasts): 13 hub/zone Settle Forecast Price v1.1.2

  • AESO- 4 Streams: Tilley Solar unit set: 1-min, hourly average, and reserve in addition to the base unit stream.

  • CAISO- 1 Stream: PGEF Fuel Price

  • PJM- 3 Streams: Economic Max Gen Cap, Emergency Max Gen Cap, Total Committed Gen Cap.

  • IESO Market Change- 2 streams: Hydrogen-Ready Power Plant (HRPP) hourly Capability and Generation.

    IESO (Forecasts): 14 RTM price forecasts across key locations (e.g., BruceB, Richview, Darlington, Greenfield, Atikokan, Pineportage).

  • ISO-NE & Weather (NWS): NB → ISO-NE 5-minute Net Scheduled. 2 Weather streams including Baton Rouge Temperature and Relative Humidity.

    Availability: All streams are cataloged with metadata and mapped views, and are accessible in  our platform.

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Accurate & Dynamic CP Strategies: Medium & High Probability CP

Since April, we upgraded our backend to automatically surface Medium (MP) and High Probability (HP) CP intervals. Analysts review these signals, refine them, and publish the final calls. The result is faster alerts, better accuracy,  and better operational alignment.

What changed?

  • Auto HP/MP identification: Algorithm proposes intervals; analysts confirm and publish.

  • All-jurisdiction coverage: Signals now span every ISO we serve, including PJM NITS indicators.

  • Ontario model refresh: We updated IESO RTM price forecasting after the market change. IESO DAM is in deployment and coming soon.

What customers saw this season

  • Proven accuracy: Consistent >90% CP-call accuracy across the season and >97% in validated periods, with calls aligning to confirmed ERCOT events.

  • Fewer false curtailments: Teams act on HP; keep MP on the watchlist, leading to  less downtime and improved readiness.

  • Broader success: CP captures confirmed in ERCOT, IESO, and PJM.

  • First-time coverage: We provided coverage for PJM NITS CPs throughout the summer—our clients tell us this advisory is unique in the market.

Why it works

  • HP = action:
    Fewer and more accurate frequency, shorter window.

  • MP = readiness:
    Wider coverage to plan resources and operations without over-curtailment.

  • Analyst-in-the-loop: Human review ensures quality while the algorithm speeds discovery and forecasts.

Operational automation

  • AI price reports: LLM integrated daily price reports now pre-built for analyst review, reducing redundancy, time and standardizing insights.

DATAHUB brief-pptx

What's DATAHUB?

A cloud-native data delivery platform that ships 25+ years of high-frequency North American power market data straight into your cloud environment for analysis. It unifies public ISO data, private partner feeds such as weather and exchanges, plus your own datasets into a single preferred delivery source. Scale is not theoretical here. It handles hundreds of billions of rows with automated updates.

Why it matters

You no longer need to build or fix data pipelines; instead, you can focus on using data. Arcus maintains compatible schemas when ISO formats change, includes versioning, and allows you to query data immediately in open formats. This ensures that your models, dashboards, and operational tools don’t break during market updates.

Delivery options you can pick from
  1. Push-to-cloud: Large data is pushed directly in your data lake on AWS, Azure, or GCP. No lock-in. You own storage, security, and controls. Best for heavy analytics, ML training, and simulation.

  2. Pull from Arcus API: Low-latency access to specific slices without moving terabytes. Good for transactional queries and time-series lookups.

  3. Proprietary dashboards: Ready-to-use UI for monitoring and analysis. No setup.

  4. Excel extractions: Lightweight downloads for spot checks and ad hoc analysis.

  5. Snowflake Marketplace: Curated, pre-modeled views you can query inside your Snowflake stack, including Streamlit apps





Download Our Solution Brief 


 

DATAHUB

datahub archi

Unifying near real-time, high-frequency power market data at scale!

Arcus DataHub delivers 25+ years of high-frequency North American power data, forecasts, weather, and emissions straight into your cloud environment.

  • Pick a delivery method by Push-to-Cloud, low-latency API, Snowflake marketplace, dashboards, or Excel.
  • Real-time feeds refresh in <1–6 minutes, and intra-day or daily schedules cover the rest.
  • Schemas stay backward compatible, and automated versioning and backfills protect your models when ISOs change formats.
  • Data lands in open formats such as Parquet, JSON, CSV and much more.

You keep storage, security, and governance in your own cloud. Scale supports 100s of billions of rows of data for trading, forecasting, reporting and much more. 

pwrstream

Forecasting Model Updates

We offer Day Ahead Market and Real-Time Market price and load forecasts for:

  • ERCOT
  • PJM
  • IESO
  • AESO (additional settlement process)
  • CAISO (to be deployed soon)

DAM Forecasts:

  • NYISO
  • ISO-NE

Improved Analyst Reporting

Our CP analyst reports now reflect the new updated probability structure and provide context before, during, and after CP periods. Available reports:

  • Pre-Month Analysis – Strategy setup and outlook

  • Daily Analysis and DROP reports– Probability tracking and alerts

  • Post-Month Analysis – Performance review and model validation

DATAHUB brief.pptx (1)

Manufacturers' Guide to preventing energy costs

TEST of Manufacturer’s Guide to Preventing Energy Costs

Practical strategies to cut demand charges, avoid peaks, and control your bottom line

Minimizing curtailment hours is a major win for our C&I customers—fewer curtailments mean you spend less time offline and can keep production running at optimal levels. By accurately targeting only the highest-probability CP windows, our platform helps you confidently avoid unnecessary shutdowns, reducing lost output while staying aligned with market signals. This approach directly supports your goals: less downtime, more production and this guide will help with optimization strategies for your plant.

Arcus Power Announces VP of Technology

Arcus Power has appointed Patrick Smith as Vice President of Technology to lead its AI energy market intelligence initiatives. Smith, formerly of Clari, brings over 20 years of experience building AI and enterprise solutions. He has led large engineering teams, driven international expansion, and worked with organizations like Google and NASA. 

Click on the photo to learn more and check out the press release.

Reports, blogs and more...

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PJM 2025 Coincident Peaks, why prices spiked, and where our models saw it coming
Ercot 2025 Mid Year Review with CP insight and outlook


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Energy Expansion: A More Realistic Narrative
Forbes
Breaking down how Arcus’s high-probability approach made capturing IESO GA peaks possible
Breaking down how Arcus’s high-probability approach made capturing IESO GA peaks possible
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Seeing Around Corners: Digital Twins Turn Energy Market Chaos Into Clarity

Forbes 

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From Chaos To Coordination: Digital Twins As The Operating System For Energy Expansion
Forbes

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