A transformer-based deep learning model for predicting residential load demand

• Main Author: Zhang, Xijia
• Other Authors: Xu Yan
• Format: Thesis-Master by Coursework
• Language: English
• Published: Nanyang Technological University 2024
• Subjects: Engineering; Transformer; Deep learning model; Residential energy consumption; Time series data; Simulation evaluation; Python
• Online Access: https://hdl.handle.net/10356/175442; https://www.kaggle.com/datasets/taranvee/smart-home-dataset-with-weather-information/data
• Institution: Nanyang Technological University

In this dissertation, a transformer-based deep learning model is introduced to solve the problem of predicting household energy consumption time series data. As the demand for high-precision energy consumption prediction in smart energy management systems increases, traditional methods still have li...