Artificial intelligence driven real-time decision-making framework for hierarchical energy management system (Hi-EMS) under dynamically changing scenarios
Large power volatility is faced by electric power grid due to the increasing number of renewable energy (RE) sources such as wind and solar energy penetrating into the conventional grid. To solve this problem, artificial intelligence (AI) is used for real-time decision making. AI is also increasingl...
Saved in:
Main Author: | Tan, Jeremy Min Ze |
---|---|
Other Authors: | Gooi Hoay Beng |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2023
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/167629 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Blockchain technology enabled transactive control framework for AI-based hierarchical energy management system (Hi-EMS)
by: Tan, De Zhou
Published: (2023) -
Fault scenario and fault equipment identification within transmission system using intelligent approaches
by: Ngoc Tran Huynh
Published: (2012) -
Analytical approximations and decision-making techniques for power systems under uncertainty
by: Pareek, Parikshit
Published: (2023) -
Explainable artificial intelligence (XAI) for healthcare decision-making
by: Zeng, Zhiwei
Published: (2022) -
Design and development of an energy management system (EMS) for smart grid
by: Wong, Melissa Hui Xian
Published: (2020)