Predicting long-term monthly electricity demand under future climatic and socioeconomic changes using data-driven methods
A case study of Hong Kong
Bibliographic Data
| ID | 21233669 |
|---|---|
| Authors | Sheng Liu (0000-0002-6409-9519, Chinese University of Hong Kong, corresponding author), Aaron Zeng (corresponding author), Kevin Ka‐Lun Lau (0000-0003-3438-1182, Chinese University of Hong Kong), Kevin Lau, Chao Ren (0000-0001-5500-7902, University of Hong Kong), Pak Wai Chan (0000-0003-2289-0609, Hong Kong Observatory), Pak-wai Chan, Edward Ng (0000-0002-2483-9922, Chinese University of Hong Kong) |
| Year | 2021 |
| Volume | 70 |
| Pages | 102936 |
| Publication date | 2021-07-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Sustainable Cities and Society (JOURNAL) |
| Journal identifiers | ISSN: 2210-6707 • E-ISSN: 2210-6715 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.scs.2021.102936 |
| OpenAlex | W3154048315 |
| Language | EN |
| Citations received | 14 |
| References cited | 81 |
Econometrics · Electricity · Generalization · Geography · Linear regression · Machine learning · Meteorology · Socioeconomic status · Support vector machine · Building Energy and Comfort Optimization · Computer Science · Demography · Energy Load and Power Forecasting · Energy, Environment, and Transportation Policies · Engineering · Environmental Science · Mathematics
The Bioclimate Present and Future in the State of São Paulo/Brazil
Comprehensive analysis on the energy resilience performance of urban residential sector in hot-humid area of China under climate change
Decarbonisation technologies can halve the nonlinear increase in electricity demand in densely populated areas due to climate change
A novel probabilistic regression model for electrical peak demand estimate of commercial and manufacturing buildings
A novel entropy-based method for quantifying urban energy demand aggregation
Energy demand forecasting in seven sectors by an optimization model based on machine learning algorithms
Future hotter summer greatly increases residential electricity consumption in Beijing
Pedestrian volume prediction with high spatiotemporal granularity in urban areas by the enhanced learning model
Urban Sustainable Development Assessment and Early Warning Oriented to Support-Constraint Dynamic Evolution
Analysis of single- and multi-family residential electricity consumption in a large urban environment
Temperature variation and urban electricity consumption in China
Multicriteria decision-making framework for robust energy management AI solutions
Quantifying urban heat island effects on building cooling energy use in Hong Kong at high spatiotemporal resolution
Urban metabolism in transition
Modeling global residential sector energy demand for heating and air conditioning in the context of climate change
Using cool pavements as a mitigation strategy to fight urban heat island—A review of the actual developments
A new scenario framework for climate change research
Prediction of energy consumption in hotel buildings via support vector machines
Implications of climate changes to building energy and design
The Shared Socioeconomic Pathways and their energy, land use, and greenhouse gas emissions implications
Long-term electricity load forecasting
| Citations per year | 3.5 |
|---|---|
| Citation span | 2022 - 2026 (5) |
| Highly cited | No |