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Energy & UtilitiesAIIoTBlockchain

Aether Grid — AI Peer-to-Peer Solar Energy Exchange

Neighbours with rooftop solar sell surplus power to each other — priced by AI, settled instantly.

Client
A renewable-energy cooperative in North India
Industry
Energy & Utilities
Year
2026
Timeline
9 months
Aether Grid dashboard and mobile app
31%lower average electricity bill
2.4×more value for surplus solar
15 smeter-to-market latency
1,200 tCO₂ avoided / year (projected)
Overview

Aether Grid turns a housing society into a living power market. Smart meters stream generation and consumption every 15 seconds, an AI forecaster predicts tomorrow's sunshine and demand, and an autonomous trading engine matches sellers and buyers — settling payments via UPI and recording every kilowatt-hour on a tamper-proof ledger.

The challenge

Households with rooftop solar were exporting surplus power to the grid at very low feed-in rates, while their neighbours bought grid power at peak tariffs just metres away. There was no trusted, automatic way to trade locally.

Our solution

We built an IoT + AI + ledger platform: meters report through edge gateways, a forecasting model blends weather satellite data with each home's history, and trading agents place bids on behalf of residents based on their preferences ("keep 20% battery for the evening"). Every settled trade is hashed onto a permissioned blockchain for auditability.

Inside the platform

Key capabilities

01AI Energy Brain

  • Solar generation forecast from satellite cloud imagery
  • Household demand prediction per 15-minute block
  • Autonomous trading agents with personal rules
  • Battery charge/discharge optimisation

02Market & Settlement

  • Continuous double-auction matching engine
  • Instant UPI settlement & monthly statements
  • Permissioned ledger with hashed trade receipts
  • Fair-price floor for low-income households

03Resident App

  • Live power-flow animation of the neighbourhood
  • Earnings, savings & CO₂ avoided
  • Voice summaries in Hindi and English
  • Outage & maintenance alerts
Gallery

Screens & experiences

Technology stack

PythonPyTorchMQTTTimescaleDBHyperledger FabricFlutterKubernetes

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