AI-Powered Energy Monitoring
Smart Building Technology
Understand, reduce, and report your energy consumption. Achieve Net Zero goals with AI-driven monitoring system.
The challenge was to create a comprehensive energy management system that could handle vast amounts of data from multiple sources, extract meaningful insights, and present them in an easily understandable format.
The system needed to be scalable, capable of managing multiple sites and portfolios, and provide accurate forecasting even in volatile conditions.
Our Approach
We developed a holistic solution to address the complex needs of energy management:
Discovery & Research
- Analyzed existing energy management systems and their limitations.
- Studied various data sources and IoT devices used in smart buildings.
- Investigated AI and ML technologies applicable to energy consumption analysis.
- Explored user needs across different roles in energy management.
Design Thinking
- Created user personas for admins, owners, and members.
- Developed intuitive dashboards for data visualization.
- Designed an AI chatbot interface for easy interaction with the system.
- Incorporated floor plan management for detailed energy consumption analysis.
Agile Development
- Implemented iterative development cycles for continuous improvement.
- Prioritized features based on user feedback and energy management best practices.
- Integrated various APIs and data sources incrementally.
- Conducted regular testing to ensure system reliability and accuracy.
Technology Stack
- Frontend: React.js for a responsive and dynamic user interface.
- Backend: Node.js with Express.js for robust API development.
- Database: PostgreSql for flexible data storage.
- Cloud: AWS for scalable and secure infrastructure.
- AI/ML: Implemented advanced models for data mining and demand forecasting.
- IoT Integration: Developed connectors for various platforms and data sources.
- Data Visualization: Utilized modern charting libraries for intuitive insights
- Architecture: Robust architecture to handle multi-tenant system and large datasets.
- Generative AI: Build custom generative AI model providing instant, context-aware responses & visualizing summary reports.
Solution
Cygnis delivered a comprehensive AI-powered energy management system, addressing the critical needs of the commercial and industrial facilities.
Data Connectors
Sophisticated connectors for real-time data integration from various sources like SkySpark and Utility API, creating a unified ecosystem for streamlined data management.
Data Mining
Advanced algorithms to extract valuable patterns and insights from vast datasets, enabling informed decision-making for enhanced energy efficiency.
Actionable Intelligence
AI-driven analytics to transform complex data into easily understandable charts and graphs, facilitating quick insights and future planning.
ML Models
Integrated demand forecasting model for recognizing data patterns and making accurate utility consumption predictions, even in volatile conditions.
AI Energy Agent
NLP-driven chatbot providing instant, context-aware responses and visualizing summary reports for an enhanced user experience.
Portfolio & Sites
Tools for efficiently managing multiple sites and portfolios, with graphical representations of electricity and gas consumption across different locations.
Signals
IoT sensor integration for collecting weather data and generating alerts, allowing for efficient adjustments to optimize electricity consumption.
Multi-tenant Architecture
Secure system design allowing for diverse group access and effective management of sites with multiple projects.
Floor Plan Management
Detailed energy consumption analysis at the floor level, with unique identifiers for each floor in a building or site.
Browse more case studies
