Autonomous residential load control based on electricity price prediction
Real-time electricity pricing models can possibly bring about economic and environment-friendly benefits in comparison with typical flat rates at the present. These models can give end users a chance to cut down their electricity costs by reacting to electricity prices that differs at various timing...
Saved in:
Main Author: | Sze, Desmond Jun Jie |
---|---|
Other Authors: | Soh Cheong Boon |
Format: | Final Year Project |
Language: | English |
Published: |
2018
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/74613 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Autonomous residential load scheduling based on price prediction
by: Lim, Jerard Ze Guang
Published: (2020) -
Optimal residential load scheduling scheme with price prediction
by: Ho, Jian Wei
Published: (2019) -
Optimal residential load scheduling with price prediction
by: Ong, Dennis Guo Yao
Published: (2021) -
A transformer-based deep learning model for predicting residential load demand
by: Zhang, Xijia
Published: (2024) -
Price discovery between residential land price and house price
by: LEE SZE TECK
Published: (2011)