Utility companies strategy for short-term energy demand forecasting using machine learning based models
Bibliographic Data
| ID | 21228867 |
|---|---|
| Authors | Tanveer Ahmad (0000-0002-0594-652X, Huazhong University of Science and Technology), Huanxin Chen (0000-0002-2695-8239, Huazhong University of Science and Technology, corresponding author) |
| Year | 2018 |
| Volume | 39 |
| Pages | 401-417 |
| Publication date | 2018-05-01 |
| Peer Reviewed | Yes |
| 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.2018.03.002 |
| OpenAlex | W2790459114 |
| Language | EN |
| Citations received | 7 |
| References cited | 43 |
Artificial neural network · Electricity · Extreme Learning Machine · Machine learning · Mean absolute percentage error · Building Energy and Comfort Optimization · Computer Science · Energy Efficiency and Management · Energy Load and Power Forecasting · Engineering · Artificial Intelligence
A novel hybrid forecasting scheme for electricity demand time series
Machine learning based demand response scheme for IoT enabled PV integrated smart building
A novel probabilistic regression model for electrical peak demand estimate of commercial and manufacturing buildings
Forecasting electricity consumption using a novel hybrid model
Nonlinear autoregressive and random forest approaches to forecasting electricity load for utility energy management systems
A novel hybrid model based on particle swarm optimisation and extreme learning machine for short-term temperature prediction using ambient sensors
A similarity based hybrid GWO-SVM method of power system load forecasting for regional special event days in anomalous load situations in Assam, India
A GIS-statistical approach for assessing built environment energy use at urban scale
Identifying services for short-term load forecasting using data driven models in a Smart City platform
An intelligent hybrid short-term load forecasting model for smart power grids
Market and behavior driven predictive energy management for residential buildings
Electrical load forecasting models
| Unique citing works | 7 |
|---|---|
| Citations per year | 1 |
| Citation span | 2019 - 2023 (5) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 7 |