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Development of Predictive Energy Management Dashboard for Sustainable Building Operations

capitalnumbers.com

Energy & natural resources

Environmental Services

Information technology

Challenges in Energy Data Utilization

Building operators face significant challenges managing fragmented, high-volume energy data from multiple sources (FTP, APIs, emails) with inconsistent formats and quality issues. Current systems lack real-time processing capabilities, predictive analytics, and actionable visualization tools to identify energy waste, forecast consumption trends, and optimize operational efficiency across multi-utility systems (electricity, water, gas).

About the Client

Australiabased energy technology company providing data-driven sustainability solutions for building management through advanced analytics and IoT integration.

Strategic Objectives for Energy Optimization

Implement real-time energy consumption monitoring with 15-minute granularity
Develop predictive models for 5-day energy demand forecasting
Create interactive visualizations for actionable sustainability insights
Establish automated anomaly detection for equipment maintenance alerts
Enable cross-utility analysis (electricity/water/gas) for holistic optimization
Ensure compliance with green building standards through carbon tracking

Core System Capabilities

Multi-source data ingestion (APIs, FTP, IoT devices)
Automated data cleansing and normalization engine
Real-time dashboard with D3.js visualizations
Machine learning-based consumption forecasting models
Submeter analytics for equipment-level insights
Carbon emissions tracking and reporting module
Custom alert system for anomaly detection
Role-based access control for enterprise users

Technology Stack Requirements

Python

PostgreSQL

React.js

D3.js

Pandas

Scikit-learn

AWS

System Integration Needs

EventZero API
Utility meter APIs
Building management systems (BMS)
IoT sensor networks

Operational Requirements

Horizontal scalability for 100,000+ daily data records
Real-time processing with <2-second dashboard refresh latency
99.9% system availability with AWS cloud redundancy
Data encryption for regulatory compliance (GDPR, ISO 50001)
Support for 10,000+ concurrent users

Expected Business Outcomes

Implementation will enable 15% reduction in gas consumption, 10,000L monthly water savings per building, and proactive equipment maintenance through anomaly detection. Predictive analytics will optimize energy procurement strategies while real-time carbon tracking accelerates compliance with sustainability certifications (LEED, NABERS). Scalable architecture supports national expansion with consistent performance across distributed building portfolios.