A Novel Approach for Predicting Monthly Water Demand by Combining Singular Spectrum Analysis with Neural Networks
- Submitting institution
-
Liverpool John Moores University
- Unit of assessment
- 13 - Architecture, Built Environment and Planning
- Output identifier
- 1492
- Type
- D - Journal article
- DOI
-
10.1016/j.jhydrol.2018.03.047
- Title of journal
- Journal of Hydrology
- Article number
- -
- First page
- 136
- Volume
- 561
- Issue
- -
- ISSN
- 0022-1694
- Open access status
- Compliant
- Month of publication
- March
- Year of publication
- 2018
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
5
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- -
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
