Household load forecasting

Forecasting is one of the few requirements for a successful energy management system applications. In a data-driven analytics application such as forecasting, data pre-processing, manual or automatic data features extraction and machine learning techniques are some of the main components requires i...

Full description

Saved in:
Bibliographic Details
Main Author: Ao, Boyu
Other Authors: Xu Yan
Format: Thesis-Master by Coursework
Language:English
Published: Nanyang Technological University 2020
Subjects:
Online Access:https://hdl.handle.net/10356/141314
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
Description
Summary:Forecasting is one of the few requirements for a successful energy management system applications. In a data-driven analytics application such as forecasting, data pre-processing, manual or automatic data features extraction and machine learning techniques are some of the main components requires in a data science related works. This project aims to develop a AI method for electricity load forecasting at the household level.