Automated energy consumption monitoring and reporting

Purpose

1. Enable automated, real-time energy consumption monitoring and reporting across all bus depot infrastructure, streamlining compliance, cost control, and sustainability initiatives.

2. Automate collection, aggregation, and analysis of electricity, heating, cooling, and lighting data for all bus depots, integrating this data for automatedly generating reports, alerts, and dashboards.

3. Automate energy efficiency auditing, identify anomalies, trigger automated maintenance, and optimize operational decisions in alignment with sustainability goals.

Trigger Conditions

1. New energy reading received from meters, submeters, or IoT sensors.

2. Pre-defined threshold breach (e.g., energy usage spike) triggers automated alert and report generation.

3. Scheduled time triggers (e.g., daily, weekly, monthly automated reports).

4. Manual trigger through dashboard interface for on-demand automated reporting.

5. Incoming facility maintenance requests referencing energy consumption.

Platform Variants

1. Microsoft Power BI

• Feature/Setting: Dataflow connectors, Scheduled Refresh; configure automated dataset refresh with energy meter APIs.
  

2. Honeywell Forge Energy Optimization

• Feature/Setting: Rule-Based Automation; automate anomaly detection and automated notifications using API endpoints.
  

3. Siemens Desigo CC

• Feature/Setting: BACnet/IP integration; configure automated polling and exception reporting for building management systems.
  

4. Schneider Electric EcoStruxure

• Feature/Setting: EcoStruxure REST API; connect and automate collection, aggregation, and alerts for depot energy assets.
  

5. AWS IoT Core

• Feature/Setting: Rule Engine; use automated rules to ingest meter data and trigger Lambda functions for reporting.
  

6. Google Cloud IoT Core

• Feature/Setting: Device telemetry ingestion; set up automated Dataflow pipelines for data aggregation and alerts.
  

7. Azure IoT Hub

• Feature/Setting: Event Grid Subscriptions; automate event-driven reporting workflows using Logic Apps.
  

8. IBM Maximo

• Feature/Setting: Maximo Integration Framework; automate fetching of energy counter readings via REST API.
  

9. EnergyCAP

• Feature/Setting: Automated Utility Bill Import; configure data capture and automated threshold alerts.
  

10. Enertiv

• Feature/Setting: Equipment Monitoring; automates device-level energy reporting through API.
  

11. GridPoint

• Feature/Setting: Automated Reporting Scheduler; use customizable thresholds for automated anomaly alerts.
  

12. DEXMA

• Feature/Setting: DEXMA Data API; automate energy data ingestion for reporting and visualization.
  

13. BuildingOS

• Feature/Setting: Automated Data Integrations; configure connectors for automated report generation from sub-meters.
  

14. Lucid

• Feature/Setting: Data Sync Schedulers; automate pulling real-time metrics and reporting.
  

15. Energy Elephant

• Feature/Setting: Automated Imports via CSV/Email/API; configure for regular, automatedly triggered report generation.
  

16. Urjanet

• Feature/Setting: Automated Utility Data API; schedule automated data pulls and compliance reporting.
  

17. Wattics

• Feature/Setting: Automated Akamai Integrations; set up automated triggers for advanced analytics and reporting.
  

18. eSight Energy

• Feature/Setting: Meter Data Import Services; automates energy data uploads and periodic report compilation.
  

19. Panoramic Power

• Feature/Setting: Automated Data Stream; configure API automation for alerts and real-time dashboards.
  

20. Verdigris

• Feature/Setting: Automated Energy Disaggregation; establish real-time API feeds for usage analytics and automated alerts.
  

21. BuildingIQ

• Feature/Setting: Rule-based Automation; automate energy event notifications and cost reporting via API.
  

22. Tridium Niagara Framework

• Feature/Setting: BACnet Device Scanning; automate device monitoring and energy reporting flows.
  

Benefits

1. Automates data capture, eliminating manual meter reading and paper logs.

2. Enables automated anomaly detection and early warnings, reducing utility waste.

3. Automatedly delivers scheduled, regulatory-compliant reports with high data fidelity.

4. Automates insight generation, benchmarking, and trend analytics, empowering sustainability initiatives.

5. Automates operational responses to energy surges or inefficiencies, improving facility performance.

6. Automated integration with maintenance and financial systems for holistic operational automation.