EnGrid
enGrid is an open source web-based platform for managing energy data and analytics. It allows users to visualize, analyze, and optimize energy consumption and production across buildings, campuses or cities.
energy
analytics
optimization
open-source
enGrid: Open Source Energy Data Management
An open source web-based platform for managing energy data and analytics, visualizing, analyzing, and optimizing energy consumption and production across buildings, campuses or cities.
What is EnGrid?
enGrid is an open source, web-based software platform designed for energy data management, analytics and optimization. It enables organizations to connect, manage and derive value from their energy data sources.
Some key capabilities and benefits of enGrid include:
- Flexible data connectivity - Integrates with 100+ data sources including meters, sensors, IoT devices, building automation systems, weather data, utility bills etc.
- Interactive data visualization - Real-time and historical monitoring, analysis and reporting of energy KPIs through rich graphs, charts and dashboards
- Analytics & recommendations - Embedded analytics engine provides actionable insights on energy usage patterns, anomalies, efficiency opportunities etc.
- Portfolio management - Track, compare and manage energy consumption across multiple sites and buildings in a unified interface
- Open standards compatibility - Integrates easily with other smart city and smart building applications through API support
- Lower total cost of ownership - Available as open source and enterprise SaaS options suitable for diverse needs
Overall, enGrid enables data-driven management of energy efficiency, costs and sustainability through a flexible, scalable and collaborative platform.
EnGrid Features
Features
- Visualize energy data
- Analyze energy consumption patterns
- Optimize energy usage
- Manage energy across buildings/campuses/cities
- Web-based platform
- Open source code
Pricing
- Open Source
Pros
Free and open source
Web-based for easy access
Visualizations for energy insights
Analytics to optimize energy usage
Scalable across buildings/campuses/cities
Cons
Requires technical expertise to set up and manage
Limited to energy data management
Not a full energy management system
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