Abstract
Smart meters, in addition to measuring users' energy consumption, provide high-resolution, real-time energy usage data, enabling advanced analyses to uncover patterns, detect anomalies, and optimize residential energy usage. This study analyzes data representing one-hour segments of voltage and current waveforms collected over 96 days from a single-family household in Portugal.
| Original language | English |
|---|---|
| Title of host publication | IEEE Global Energy Conference 2024, GEC 2024 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 388-394 |
| Number of pages | 7 |
| ISBN (Electronic) | 9798331532611 |
| DOIs | |
| Publication status | Published - 2024 |
| Externally published | Yes |
| Event | 2024 IEEE Global Energy Conference, GEC 2024 - Batman, Turkey Duration: 4 Dec 2024 → 6 Dec 2024 |
Publication series
| Name | IEEE Global Energy Conference 2024, GEC 2024 |
|---|
Conference
| Conference | 2024 IEEE Global Energy Conference, GEC 2024 |
|---|---|
| Country/Territory | Turkey |
| City | Batman |
| Period | 4/12/24 → 6/12/24 |
Bibliographical note
Publisher Copyright:©2024 IEEE.
Keywords
- anomaly detection
- consumer segmentation
- data-driven energy management
- energy consumption analysis
- residential energy optimization
- smart meters
