Urban electric load forecasting with mobile phone location data

• Main Authors: Selvarajoo, Stefan, Schläpfer, Markus, Tan, Rui
• Other Authors: School of Computer Science and Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2020
• Subjects: Engineering::Computer science and engineering; Data Analytics; Electrical Load Forecasting
• Online Access: https://hdl.handle.net/10356/145170
• Institution: Nanyang Technological University

In recent years, electrical load forecasting has received continuous research efforts aiming to improve the short-term prediction accuracy of local energy demands. However, current methods are not able to take explicitly into account the dynamic spatial population distribution over the course of a d...