Federated learning based appliance-level energy demand forecasting for residential buildings

• Main Author: Suriyasekaran, Seima Saki
• Other Authors: Arvind Easwaran
• Format: Thesis-Master by Research
• Language: English
• Published: Nanyang Technological University 2021
• Subjects: Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
• Online Access: https://hdl.handle.net/10356/152961
• Institution: Nanyang Technological University

Energy demand forecasting plays a vital role to plan electricity generation effectively in Smart Grids. With increasing electricity demand from residential buildings, a deeper understanding of individual appliances' consumption patterns becomes necessary. Most of the existing studies forecast t...