s2-energy-perceptionS2-SP-OS Energy Radar. Maps spatial inventory and generates advanced local visual dashboards (Bar/Pie/Trend) for user insights without cloud analytics. / S2...
Install via ClawdBot CLI:
clawdbot install spacesq/s2-energy-perceptionRequires:
Grade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://space2.world/s2-sp-osAudited Apr 17, 2026 · audit v1.0
Generated Sep 5, 2026
Homeowners can map device energy usage by room and view local dashboards (bar/pie/trend charts) to track consumption patterns. This helps identify energy-hungry appliances and adjust habits to reduce bills.
Retail chains can monitor energy usage across stores and zones, generating local visual reports to optimize lighting, HVAC, and equipment scheduling. This reduces operational costs without enterprise-level analytics.
Small businesses can perform energy audits of office spaces, creating clear visual dashboards of consumption trends. This supports cost-saving decisions and sustainability reporting without cloud dependency.
Educational institutions can use the tool to demonstrate real-time energy mapping in labs or dorms, promoting energy awareness among students. The privacy-preserving aspect is ideal for campus environments.
Warehouse operators can map energy usage of equipment (e.g., forklifts, conveyors) across zones, generating dashboards for maintenance and peak load management. The edge approach ensures data remains on-site.
Offer a basic version with limited zones/charts for free, while charging for premium features like historical trend analysis and multi-grid export.
Integrate the tool into existing IoT or energy management platforms, offering customized branding for manufacturers of smart panels or dashboards.
Provide paid setup and customization for SMBs that want energy dashboards tailored to their specific hardware setup, including on-site installation and training.
💬 Integration Tip
Ensure the S2_PRIVACY_CONSENT environment variable is set to 1 and verify Python dependencies (pandas, numpy, matplotlib) are installed before running energy.py.
Scored Sep 5, 2026
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