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Company / Competitor

Alternative privacy-preserving P2P energy trading protocols

Mentioned in 1 AI use cases across 1 industries

Active Industries

energy1

AI Patterns

secure classification/identification under privacy constraints1

Tech Stack

Approach 1: identification performed by suppliersApproach 2: identification by CSApproach 3: individual deviations disclosed to suppliersDual binary encoding for integer comparison using inner productsInner product functional encryption

Also Competes With

Functional-encryption-based smart-grid trading schemesDistributed-ledger transactive energy privacy architectures

Use Cases Mentioning Alternative privacy-preserving P2P energy trading protocols

energysecure classification/identification under privacy constraints

Privacy-tiered deviation identification workflow for LEM billing

The system offers three ways to figure out whether a participant deviated from their promised energy amount, letting operators choose between stronger privacy and lower overhead.

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System: Online
|v3.0.4
Latency: 12ms//Uptime: 99.9%//Region: US-East
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