NERC GADS Reporting Made Easy

Automate quarterly reporting with eDatasheet and AVEVA PI, and turn every outage into a decision you can act on.

EIS OI understands the complexity of power generation: not just the processes with the equipment, but the additional regulatory and market interactions. Utilizing these information silos to meet regulatory requirements and also drive operational decisions requires a partner with experience successfully implementing these projects – EIS OI is that partner.

EIS OI works to replicate common solutions across the power generation industry, providing each partner with the gained knowledge and experience. Our team works to drive local ownership in future solutions by training and templatizing solution components.

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Trusted Partner

AVEVA-Endorsed Integrator

EIS is an AVEVA-endorsed operations system integrator, trusted to deliver Operational Intelligence projects in power generation.

Experts in OI

30+ Years of OI Delivery

For over 30 years our consultants have delivered successful Operational Intelligence projects.

Real-Time Data

Real-Time Data Analytics

Our experts deliver access to real-time data and analytical tools to ensure every decision is an informed decision.

Know exactly where your fleet is losing money, and why.

Fleet Command pairs AVEVA PI with eDatasheet to take you from historian to Asset Framework to CONNECT, with AI built in at the CONNECT level. One view for the fleet, the plant and the unit.
$693,812
lost to underperformance in 14 days across the demo fleet
78%
of that cost explained by operator-entered causes
23
raw tags is all it takes to satisfy NERC GADS
177
attributes per unit, only 53 of them raw tags

You already own most of this stack

No rip-and-replace. Fleet Command builds on the AVEVA PI tools already running in your plants, then closes the one gap that is left.
⚙

Built on what’s already running

Asset Framework, PI Vision and PI DataLink are standard in most plants. CONNECT is the new layer: the exact same calculations, rolled up for management.
✎

eDatasheet closes the gap

The one thing missing is manual entry: event frames, GADS causes and the configuration values no sensor can capture.
✦

AI that can query all of it

Every unit built on the same Asset Framework template becomes a structured data lake that AI can query at the unit or fleet level.
The CONNECT model

CONNECT isn’t a link in a chain. It’s the hub everything connects through.

Data and assets feed in from below. Power BI, AI and every application draw from the same CONNECT hub above, not a straight line.

Source: AVEVA, aveva.com/en/solutions/connect

● ● ●   AVEVA CONNECT — platform architecture

Asset Framework

Attributes, not generic tags

Build the template once. Every unit, every site, every report inherits it.

● ● ●   PI System Explorer — Unit Template: Attribute Templates

23 raw tags gets you NERC GADS

The same template, 30 tags more, gets you full performance monitoring too.

This unit carries 177 attributes today, and only 53 are raw. The raw-tag count scales with what you ask the system to do; the template builds the rest itself.

● ● ●   PI System Explorer — Unit Template: Analysis Templates

The NERC DRI, operationalized

These aren’t just formulas. They’re the NERC DRI’s own equations, calculated the same way every time, continuously, in Asset Framework instead of a spreadsheet.

The GADS event frame generator sits right inside the unit template, so every GADS event is captured the same structured way, unit after unit.

● ● ●   PI System Explorer — Facility Template: Rollup Analysis

One level up: the site rollup

The site template already leverages rollup for the daily performance metrics you’d report anyway. It isn’t bolted on. It’s built into the template.

CONNECT · Live

One screen, every level

Fleet, plant or unit: the same hierarchy, live. Expand it and the embedded Power BI pane updates with it, from cost drivers to the full fleet comparison, without leaving the page.

● ● ●   AVEVA CONNECT — Fleet Command · Hierarchy

Analytics, live

A trip opens its own PI Event Frame. Automatically.

Event Frames start either way: tripped automatically by a plant event, or opened by hand later. Same record either way, and it’s queryable in real time the moment it exists.

● ● ●   Power BI — Units & Events (live GADS board)

Every unit. Every event. One board.

When a unit trips, the event timestamps itself. Add the detail later, and always see what’s still outstanding, not just at quarter-end.

● ● ●   eDatasheet — GADS Data Entry

eDatasheet · live

eDatasheet is the other way an Event Frame starts: by hand.

For a planned outage, nothing in PI triggered it digitally before now, so the operator opens the Event Frame directly. Even an automatic trip still needs this step. The signal can start it, but a person has to fill in what the signal can’t capture.

Live · 14-day

What it adds up to

$693,812

lost in 14 days. 78% of it, operators explained themselves.

That operator-entered cause doesn’t just explain the dollars. It feeds performance tracking, NERC reporting and regulatory recordkeeping from the same entry.

⚠ Demo fleet: simulated data

● ● ●   Power BI — Overview (live, full fleet)

● ● ●   Power BI — Market (MISO hubs vs. fleet sites)

Market

Price context, same screen

Market location and conditions change in real time, so the cost of an outage does too. Seeing cost and market price together is what lets you act in real time.

PI Vision

Already on the floor. Now driving decisions.

Asset Framework and PI Vision are standard tools in most plants. Build in Asset Framework and PI Vision shows plant-level metrics from the same real-time data points the floor already runs on.

● ● ●   AVEVA PI Vision — Unit Performance: Actual vs Expected

Unit performance, from the same tags

Local visuals built on tags already on the unit template. The exact same calculations, rolled up for management, not a separate set of numbers.

● ● ●   AVEVA PI Vision — Plant Operations: Day Ahead vs Real-Time

Same market data, front line

Day-ahead schedule against real-time generation, with the RT–DA price delta right beside it, used to decide what to do right now.

Ask the fleet directly

This isn’t a chatbot bolted onto a report. It’s what templatizing the data makes possible: every unit on the same Asset Framework template is a structured data lake AI can query, one unit’s cause or a pattern across the whole fleet.
“Where did the fleet lose the most money, and how much did operators explain?”
$693,812 total. 78% is tied to an operator-entered cause, sourced straight from the data. No report to build first.
“Is that a Riverbend Unit2 problem, or is it showing up fleet-wide?”
Same compressor-fouling cause code on 3 of 5 units this quarter. Not isolated. That’s a fleet maintenance question, not a one-unit fix.

What traditional GADS reporting really costs you

One dedicated resource, every month, just to keep the data straight.

Few units, clean data systems

1–2 days
per month, 1 dedicated resource

Typical utility plant

2–3 days
per month, 1 dedicated resource

Multiple units / older systems

4–7+ days
per month, 1 dedicated resource

GADS reporting with eDatasheet

✓ One dedicated resource enters events and gives them a cursory review.
✓ When an event occurs Record it in real time in eDatasheet.
✓ At the reporting time Run the report in PI DataLink and upload. Quarterly submission is a quick review and upload.
NERC · Quarterly

Quarterly reporting, solved.

The NERC upload template is always ready, not assembled at quarter-end. The same eighteen fields NERC requires are already filled in, and always show what’s still outstanding.

07UtilityIDUnitIDReptYearE#RevStartDateStartTimeEndDateEndTimeTypeGACNACDomCauseAmpCOCDescription
07DEMORB-U32026004701003080010032212U3594561Y3620040GSU oil weep
07DEMOHW-U220260048010141059awaiting entryU2pending operator entry

NERC GADS Quarterly Upload, Card 07 Event Record (demo data)

When it’s time to file, AVEVA PI DataLink, already part of the stack, pulls this straight into the upload format on demand. No separate export tool to buy or build.

Automate quarterly NERC GADS reporting with eDatasheet and AVEVA PI.

Swap the spreadsheet scramble for a workflow built specifically for regulated environments.

Traditional GADS Reporting

Excel Driven
Manual & Error-Prone
Audit Anxiety
Reactive Cleanup
Quarter-End Scramble
VS

eDatasheet GADS Reporting

✓ Automated Workflows
✓ Accurate & Repeatable
✓ Confidently Compliant
✓ Proactive Data Quality
✓ Timely Submission Every Time

How it works

01

Enter Data

Standardized data entry for events and classifications.
02

Event Frames

AVEVA PI Event Frames capture and contextualize operational events.
03

Quality Checks

Proactive data quality checks for accuracy and completeness.
04

Submit Reports

Automatically compile and submit compliant GADS reports.
Built specifically for regulated environments.

Get the most out of your OT data with AI.

From first workshop to ongoing model monitoring, EIS meets you wherever you are on the AI journey.

Initial Consulting

Readiness assessmentDocument digital maturity, audit existing systems and identify gaps before your AI initiative begins.
Use case workshopsFacilitated sessions with plant and ops teams to find high-value AI applications.
IT/OT architecture and security reviewAssess network segmentation, data flow and cyber risk exposure when introducing AI or cloud connectivity.
Vendor and platform selectionEvaluate AI and analytics platforms against requirements and budget constraints.

Implementation Services

Data pipeline and integration engineeringBuild connectors from systems suitable for AI consumption.
Digital twinCombine AI models with process simulations for what-if analysis and optimization.
DashboardsVisualization and alerting layers that turn AI model outputs into actionable guidance for plant staff.
Change management and workforce trainingHelp operations teams trust, interpret and act on AI-driven recommendations.

Ongoing / Managed Services

Model monitoringTrack model performance as processes and equipment age and change.

Continuous improvementPeriodic reviews to expand use cases as data maturity grows.

Frequently Asked Questions

Straight answers to the NERC GADS reporting and Fleet Command questions power generators ask most.

GADS is the quarterly generating unit availability reporting that plants submit to NERC. Done the traditional way it is Excel driven and manual, which can take one dedicated resource anywhere from 1-2 days a month for a few units with clean data systems to 4-7+ days a month for multiple units on older systems.

Operators enter events in eDatasheet as they happen. AVEVA PI Event Frames capture and contextualize the event, proactive quality checks look for accuracy and completeness, and the report is compiled for submission. No quarter-end scramble.

No. Asset Framework, PI Vision and PI DataLink are standard in most plants already. eDatasheet adds the one thing missing: manual entry for event frames, GADS causes and the configuration values no sensor can capture.

In our demo unit, 23 raw tags are enough to satisfy NERC GADS. About 30 more tags give you full performance monitoring from the same template. That unit carries 177 attributes, and only 53 are raw tags; the template builds the rest.

A trip can open its own PI Event Frame automatically, timestamped the moment it happens. Planned outages, or the detail a signal cannot capture, are entered by the operator in eDatasheet, who picks the cause and saves it in the same system.

The NERC upload template is always ready, not assembled at quarter-end. When it is time to file, AVEVA PI DataLink pulls the data into the upload format on demand, followed by a quick review and upload.

Fleet Command pairs AVEVA PI with eDatasheet, taking you from historian to Asset Framework to AVEVA CONNECT with AI built in at the CONNECT level. It gives you one view for the fleet, the plant and the unit, with Power BI cost and market views alongside. Our demo uses simulated plants and data.

When every unit is built on the same Asset Framework template, the data becomes a structured source AI can query at the unit or fleet level. EIS also offers AI services, from readiness assessment and use case workshops to implementation and ongoing model monitoring.

Book a demo. Our team will discuss your units, your current PI System and your reporting needs, then agree a plan with you.

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