Predicting residential electricity consumption patterns based on smart meter and household data
A case study from the Republic of Ireland
Bibliographic Data
| ID | 12245809 |
|---|---|
| Authors | Zhifeng Guo (0000-0003-0937-7667, University of Kent), J R O’Hanley (0000-0003-3522-8585, University of Kent, corresponding author), Stuart Gibson (0000-0002-7981-241X, University of Kent) |
| Year | 2022 |
| Volume | 79 |
| Pages | 101446-101446 |
| Publication date | 2022-11-03 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Utilities Policy (JOURNAL) |
| Journal identifiers | ISSN: 0957-1787 • E-ISSN: 1878-4356 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.jup.2022.101446 |
| OpenAlex | W4308100766 |
| Language | EN |
| Citations received | 2 |
| References cited | 25 |
Agricultural economics · Business · Cluster analysis · Consumption (sociology · Demographic economics · Econometrics · Economics · Electricity · Electricity demand · Electricity generation · Environmental economics · Geography · Household income · Smart meter · Sociology · Statistics · Building Energy and Comfort Optimization · Energy Load and Power Forecasting · Engineering · Mathematics · Smart Grid Energy Management
Regularization and Variable Selection Via the Elastic Net
Algorithm as 136
Support-Vector Networks
The self-organizing map
Greedy function approximation
Random Forests
Regression Shrinkage and Selection Via the Lasso
Application of the k-means clustering method for the detection and analysis of areas of homogeneous residential electricity consumption at the Great La Plata region, Buenos Aires, Argentina
| Citations per year | 1 |
|---|---|
| Citation span | 2024 - 2024 (1) |
| Highly cited | No |