Electricity load forecasting for smart home
Due to expanding global human population, the demand for electricity is ever increasing. Energy is difficult and expensive to store in bulk, so to ensure the demand can be met by energy suppliers, it is important to be able to forecast electricity load with high accuracy. Electricity load forecastin...
Saved in:
Main Author: | Lin, James Rizhong |
---|---|
Other Authors: | Xu Yan |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2022
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/163547 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Probabilistic forecasting of residential load power for smart home
by: Du, Zhenyuan
Published: (2022) -
Data-analytics and forecasting for smart home energy usage
by: Koh, Nikki Wen
Published: (2023) -
Electricity load forecasting by randomized neural networks
by: Gao, Ruobin
Published: (2022) -
Short-term electrical load demand forecasting with deep learning techniques
by: Singh, Arnav
Published: (2022) -
Smart platform for home stay
by: Lin, Xiaojing
Published: (2017)