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GridAPM tool

Computational Load Evidence Pack Scoper

Prepare evidence packs for AI data centers and emerging large loads around transformer loading, ramp behavior, PQ, protection, and operational coordination.

Open tool Scope a pilot
Computational load Audience: Utility planners, large-load teams, data centers, industrial energy, and reliability teams Output: Large-load evidence pack Tool inputs stay in your browser. Optional site analytics, when accepted, records page-level usage only.
Interactive planning tool

Computational Load Evidence Pack Scoper

Public client-only planning tool for computational load, AI data center, and emerging large-load evidence packs for utilities and energy customers.

Client-only. No uploads or server submission; tool inputs stay local.

Evidence inputs

Select generic context only. Do not enter facility names, feeder IDs, customer records, protection settings, or private operational data.

Evidence-pack result

0% Baseline large-load inventory

Start with a baseline inventory of large-load context, source boundaries, and reviewer ownership before drafting a pilot evidence pack.

Suggested first pilot scope

Large-load source inventory with reviewer roles and evidence gaps

Top missing gaps

    Tools AI data center planning Integrations Security Data handling Pilot evaluation Sample evidence pack

    Evidence-pack workflow

    1. Load requestCapture generic context, timing, and source-boundary assumptions.
    2. Evidence inventoryOrganize loading, PQ, mapping, thermal, and facility context.
    3. Coordination reviewSeparate planning, operations, protection, PQ, and customer roles.
    4. AI draftDraft gaps, questions, and artifact outline only from approved sources.
    5. Human approvalQualified reviewers approve, revise, reject, or escalate the package.

    Computational-load evidence comparison

    Comparison of large-load evidence categories and the GridAPM pilot artifact produced for review.
    Evidence area Review evidence GridAPM pilot artifact
    Commissioning Ramp/step load profile, energization stages, facility boundary, UPS/genset/BESS context, and source assumptions. Commissioning evidence outline with open questions, gaps, and role-based review notes.
    Operations Operational contact path, escalation roles, flexibility assumptions, backup modes, and steady-state handoff context. Operations coordination summary with contacts, assumptions, and handoff questions.
    Protection Read-only protection/control settings context, switching assumptions, relay-study references, and approval boundary. Protection review packet that preserves settings as source evidence only.
    PQ Power-quality, harmonics, flicker, voltage, transient, and disturbance evidence with source provenance. PQ evidence index with measurement basis, missing records, and reviewer questions.
    Asset evidence Transformer loading evidence, substation/feeder mapping, thermal/cooling constraints, and ambient assumptions. Asset-facing evidence pack with loading, thermal, mapping, and approval-path gaps.

    Privacy boundary: no uploads and no server submission; tool inputs stay local. Optional site analytics, when accepted, does not receive selected tool values. This scoper is a planning aid only and is not NERC compliance/legal advice, interconnection approval, harmonic/load-flow/EMT calculation, curtailment automation, operating instruction, diagnostic advice, or maintenance authorization.

    Pilot boundary

    Use the result as a review-starting point.

    Public tool outputs are designed to help utility, TSO, DSO, generation, data center, oil and gas, and industrial teams frame a controlled GridAPM discussion before approved evidence enters a local-first transformer APM workflow.

    No diagnostic authority The tool does not determine transformer condition, approve maintenance, certify standards compliance, or replace qualified engineering judgment.
    No private source intake Do not enter confidential asset names, work-order IDs, network details, customer data, or proprietary measurements into public planning tools.
    Human review remains central GridAPM positions AI draft output as review material until authorized reviewers approve, edit, reject, or escalate it.

    Next step

    Turn the tool output into a pilot conversation.

    Share the non-confidential result with GridAPM to discuss approved evidence sources, security boundaries, reviewer ownership, and a measurable first workflow.

    Request pilot Read research context
    Define approved source evidence
    Name reviewer roles and approval states
    Confirm security and data handling expectations
    Select a measurable first workflow

    Related tools

    Continue scoping the pilot surface.

    These adjacent tools help convert readiness, evidence gaps, governance questions, and handoff fields into a stronger pilot brief.

    Utility planners reviewing AI data center load growth and transformer planning evidence beside a substation
    Large-load planning

    Large-Load Transformer Planning Checker

    Frame transformer evidence and reviewer gaps for data center, AI load, and large-load planning reviews.

    Open tool