Each card answers a customer question, what GR examines, a representative deliverable, and the decision supported. Technical depth lives on the linked pages—not here. GR provides independent, vendor-neutral assessment and can work with client-selected tools and qualified partners; scope, assumptions, data sources, responsibilities, and limitations are stated transparently.
Distribution Reliability Improvement & AI-Assisted Outage Analytics
Customer question: Which outage causes, feeders and restoration delays should we address to improve SAIDI and SAIFI?
GR examines: Interruption frequency and duration, feeder and customer exposure, outage-event records, restoration sequences, and engineering-validated patterns in authorized data.
Potential deliverable: Reliability baseline, priority investigations, mitigation scenarios and a benefits-verification plan.
Experience: Dr. Agarwal reports prior reliability improvement work involving PacifiCorp, Idaho Power, Southern California Edison, Aurora Energy (Australia), CPRI (India) and Lakeland Electric. These are historical professional associations, not current GR client endorsements.
Technical approach →
Grid Capacity & Flexibility Assurance
Customer question: Is proposed capacity or flexibility evidence-supported—or only apparent headroom?
GR examines: Claims, contingencies, deliverability evidence, flexibility boundaries, and qualification language.
Deliverable: Scoped assurance assessment or framework application (assessment terminology, not certification).
Decision supported: Whether a claim is ready for planning, investment, or operational use.
Framework page → · Discuss →
Data-Center Architecture & Reliability Assessment
Customer question: How do topologies, transfers, and maintenance states change interruption risk?
GR examines: Paths, common-mode dependencies, transfer behavior, and consequence through useful computation.
Deliverable: Configuration comparison and SPOF/dependency screening—not Tier certification.
Decision supported: Architecture choices and maintenance-state risk trade-offs.
Technical page → · Discuss →
Load Behavior & POI Model Assessment
Customer question: Is a constant-MW block an adequate POI model for this facility?
GR examines: Operating states, MW/Mvar response, ramps, rebound, ride-through, campus aggregation, and model requirements.
Deliverable: POI behavior characterization and model-validation findings.
Decision supported: Study assumptions, interconnection modeling, and flexibility/operating commitments.
Technical page → · Discuss →
Outage Duration & Cost Assessment
Customer question: Which outage clock and cost boundary matter for this workload?
GR examines: Electrical, rack-power, compute, and restoration clocks; ride-through and recovery assumptions.
Deliverable: Duration/cost framing with scoped boundaries—not a universal SLA guarantee.
Decision supported: Design, operations, and commercial consequence discussions.
Technical page → · Discuss →
Probabilistic Reliability Assessment
Customer question: How often, how long, and how severely could contingencies interrupt service?
GR examines: Frequency, duration, common-mode/dependent failures, EUE, and outage-cost framing overlaid on deterministic studies.
Deliverable: Probabilistic assessment with documented assumptions and human review of results.
Decision supported: Risk-ranked alternatives and planning priorities.
Utilities detail → · Discuss →
Transmission Planning Study Review & QA
Customer question: Are study assumptions, contingencies, and conclusions technically defensible?
GR examines: Models, contingencies, power-flow/stability results, missing scenarios, and decision-focused interpretation.
Deliverable: Independent study QA memo or review package—not official utility/RTO approval.
Decision supported: Whether to accept, revise, or re-scope a planning study.
Discuss study QA →
Reliability-Constrained Utilization Assessment
Customer question: How much additional load can facilities support under reliability constraints?
GR examines: Nameplate vs operational vs reliability-constrained capacity and limiting contingencies.
Deliverable: Utilization review with probability/consequence framing—not a promise of extra capacity.
Decision supported: Staged loading, improvements, or expansion sequencing.
How the review is framed → · Discuss →
Study Automation & Batch Analysis
Customer question: Can repetitive studies, scenario batches, and reporting be made reproducible without losing engineering control?
GR examines: Workflows across client-selected software, third-party engineering tools, and/or GR methods; data schemas; QC checks; and documentation.
Deliverable: Repeatable automation with documented assumptions and required human review/approval—not autonomous grid control.
Decision supported: Throughput, consistency, and auditability of study production.
Boundary: Not dependence on a single software vendor; not office-chatbot automation.
Discuss automation →
Training & Technical Mentoring
Customer question: Can our team strengthen probabilistic methods, study interpretation, and automation practice?
GR examines: Audience, tools in use, and decision contexts that training must support.
Deliverable: Seminars, workshops, and mentoring scoped to the team’s platforms and problems.
Decision supported: Internal capability and defensible use of methods and tools.
Training overview → · Discuss →
