Grid queues lie by omission
Grid queues show applications, not buildable capacity. Connection probability depends on node pressure, queue depth, project maturity and transmission bottlenecks.
1,720 GW active ghost capacity flagged
Infrastructure intelligence for power-constrained assets
We turn grid queues, sponsor history, physical constraints and demand collisions into decision-grade intelligence for infrastructure funds, data center developers and energy teams.
The queue is not the pipeline.
216 GW
UK ghost capacity
Active UK pipeline
57.8%
Likely ghost
Canonical active universe
49,000+
Projects tracked
Global project universe
0.852
Model V3 AUC-ROC
UK model validation
Energy and AI infrastructure is being planned against queues that overstate reality. Projects compete for grid capacity, water availability, viable land, credible sponsors and transmission headroom. Most teams see the constraint too late.
Grid queues show applications, not buildable capacity. Connection probability depends on node pressure, queue depth, project maturity and transmission bottlenecks.
1,720 GW active ghost capacity flagged
Sponsor track record changes survival probability. Experienced sponsors behave differently from one-project entities and speculative applicants.
92.7% sponsor survival for sponsors with 2+ prior connections
Data center demand compresses timelines around nodes already pressured by storage, renewables, transmission queues and water constraints.
Demand collision tracked at node and regional level
Intelligence layer
Source layer
Public registries, grid queues, project datasets, sponsor records, planning data, water stress and demand signals.
Entity layer
Entity matching, node mapping, sponsor history, technology classification and project state tracking.
Model layer
p_connect, expected delivered MW, ghost capacity, node congestion, sponsor survival and DC collision risk.
Client layer
Go / Watch / Avoid shortlists, investment memos, monitoring feeds and API access.
Solutions
Solution
For data centers, BESS, energy and industrial loads.
Solution
For funds, analysts and strategy teams.
Solution
For teams watching regions or assets over time.
Use cases
Infrastructure Funds
Identify ghost MW, weak sponsors, congested nodes and false pipelines before capital is committed.
Data Center Developers
Shortlist regions where grid headroom, water risk, demand pressure and project survival are compatible.
Energy Consultants
Add physical constraint evidence to client recommendations, market studies and investment memos.
Data proof
Every number is scoped by geography, source coverage and model version. The data layer is designed to support decisions, not dashboards for their own sake.
49,000+
Projects tracked
2,975 GW
Active interconnection queues
1,720 GW
Ghost capacity active
661 GW
UK nominal pipeline
445 GW
Expected connectable
216 GW
UK ghost capacity
98.7%
UK failures linked to congestion
92.7%
Sponsor survival
Decision output
Decision
p_connect 0.03
Avoid unless timeline and connection strategy are structurally revised.
Alverdiscott BESS. GSP ALVERDISCOTT. HIGH_ZOMBIE status. 9.2 GW capacity exposed to severe queue pressure.
Decision
QDR 0.3 to 0.5
Prioritise for early feasibility review.
North Scotland Cluster. CLEAR_BUILD status. Queue depth ratio remains compatible with early-stage site screening.
| Field | Negative case | Positive case |
|---|---|---|
| Asset / Zone | Alverdiscott BESS | North Scotland Cluster |
| Status | HIGH_ZOMBIE | CLEAR_BUILD |
| Capacity | 9.2 GW | Scoped regional cluster |
| Decision | Avoid | Prioritise feasibility |
Methodology
Manathric does not sell certainty. It sells a better reading of physical probability. Every signal must survive versioning, source checks, negative evidence and perimeter disclosure.
Principle
Sources identified
Principle
Models versioned
Principle
Limits declared
Principle
Negative results preserved
Request access
Send a project type, power target, country and timeline. Manathric returns whether the opportunity deserves deeper work, a shortlist or immediate rejection.