Abstract
Energy burden, the proportion of household income spent on energy costs, disproportionately affects low-income and historically marginalized communities, yet existing tools to assess and address this issue remain limited in spatial resolution, interactivity, and public engagement. This paper presents NJEQUIP (New Jersey Energy eQuity User Interactive Portal), a novel web-based platform designed to advance energy equity through interactive, spatiotemporal data visualization and public sentiment analysis. NJ-EQUIP integrates municipal-level and county-level data with a dynamic Energy Burden Calculator, overlays of overburdened communities, as well as filters for key demographic indicators. It further incorporates sentiment analysis to track public discourse data on energy policies from 2018 to 2023. By merging geospatial analytics, ubiquitous computing principles, and AI-driven insights, the platform offers a scalable, user-friendly tool for decision support, guiding researchers, planners and policymakers. By combining geospatial analytics with machine learning-driven insights, NJ-EQUIP demonstrates a transferable model for promoting transparency and equity in energy transitions at a statewide as well as local level.
| Original language | English |
|---|---|
| Title of host publication | 2026 IEEE 16th Annual Computing and Communication Workshop and Conference, CCWC 2026 |
| Editors | Rajashree Paul |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 683-688 |
| Number of pages | 6 |
| ISBN (Electronic) | 9798331593971 |
| DOIs | |
| State | Published - 2026 |
| Event | 16th IEEE Annual Computing and Communication Workshop and Conference, CCWC 2026 - Las Vegas, United States Duration: 5 Jan 2026 → 7 Jan 2026 |
Publication series
| Name | 2026 IEEE 16th Annual Computing and Communication Workshop and Conference, CCWC 2026 |
|---|
Conference
| Conference | 16th IEEE Annual Computing and Communication Workshop and Conference, CCWC 2026 |
|---|---|
| Country/Territory | United States |
| City | Las Vegas |
| Period | 5/01/26 → 7/01/26 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- AI in Energy Equity
- Data Mining
- Decision Support
- NLP
- Spatial Data Visualization
- Ubiquitous Access
- Web Tools
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