Saved in:
| Main Author: | |
|---|---|
| Format: | Recurso digital |
| Language: | |
| Published: |
Zenodo
2025
|
| Online Access: | https://doi.org/10.5281/zenodo.18073955 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866901434981679104 |
|---|---|
| author | LI, MEIAN |
| author_facet | LI, MEIAN |
| contents | <p>This archive provides the real-world electricity load datasets and window-level analysis results used to validate a window-based nonlinear time-series analysis framework.</p> <p>The original electricity load data are from the UCI Machine Learning Repository (Electricity Load Diagrams 2011–2014). Processed multiscale datasets and residual-based window scores are provided together with a script to reproduce the results.</p> <p>This archive is intended to support methodological reproducibility and robustness assessment. No domain-specific modeling or forecasting of electricity systems is performed.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18073955 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Real-data validation of a window-based nonlinear time-series analysis framework using electricity load data LI, MEIAN <p>This archive provides the real-world electricity load datasets and window-level analysis results used to validate a window-based nonlinear time-series analysis framework.</p> <p>The original electricity load data are from the UCI Machine Learning Repository (Electricity Load Diagrams 2011–2014). Processed multiscale datasets and residual-based window scores are provided together with a script to reproduce the results.</p> <p>This archive is intended to support methodological reproducibility and robustness assessment. No domain-specific modeling or forecasting of electricity systems is performed.</p> |
| title | Real-data validation of a window-based nonlinear time-series analysis framework using electricity load data |
| url | https://doi.org/10.5281/zenodo.18073955 |