Generative AI-Powered Energy Forecasting & Optimization

Service Overview

Unpredictable consumption drives peak‑demand penalties and wasted generation. AWS already offers Amazon Forecast for time‑series prediction and Lookout for Metrics for anomaly detection, but leading utilities and manufacturers are now adding generative‑AI agents to simulate edge‑cases, explain forecasts, and auto‑tune set‑points.

Our delivery approach—modelled on best practices from AWS Solution Accelerators and Marketplace partners like Uplight and Arundo—gets you production value fast:

• Data & infrastructure assessment – review EMS/SCADA feeds, building BMS logs, AMI meters, S3 data lakes, IAM & VPC endpoints
• Service enablement – stand up Amazon Forecast datasets + predictors; stream telemetry via AWS IoT SiteWise & Kinesis; configure Lookout for Metrics for real‑time alerts
• Generative augmentation – fine‑tune Bedrock FMs (Claude or Llama 3):
  • create synthetic “extreme weather / outage” scenarios to harden models;
  • power a chat‑style agent that explains drivers behind every forecast spike and suggests load‑shifting actions.
• Optimisation engine – implement a reinforcement‑learning or MILP solver (SageMaker or Marketplace solver like Gurobi) that schedules chillers, pumps, storage, or DERs to minimise cost/carbon
• Pilot & KPI baselining – deploy to one facility or feeder; benchmark MAPE, peak‑to‑average ratio, and $/MWh savings
• Handover & roadmap – deliver IaC (Terraform/CDK), lineage docs, and a phased rollout plan; highlight Marketplace add‑ons (e.g., Weather Company APIs, Copperleaf asset‑value models)

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