DEVELOPMENT OF SUITABILITY AND POTENTIAL POWER MODEL OF SOLAR AND WIND ENERGY IN SOUTHEAST ASIA BASED ON MULTI-MACHINE LEARNING
The increase in population in Southeast Asia will result in a two-fold increase in energy demand by 2040. If non-renewable energy is still massively used to meet these needs, it will cause dangerous global negative impacts. Therefore, there is a need for an energy transition to renewable energy to m...
Saved in:
Main Author: | Christin Nugraheni, Ivani |
---|---|
Format: | Theses |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/81617 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Similar Items
-
DEVELOPMENT OF THE SUITABILITY OF SOLAR AND WIND ENERGY POTENTIAL AREAS IN THE SOUTHEAST ASIA REGION BASED ON MACHINE LEARNING AND REMOTE SENSING
by: Christin Nugraheni, Ivani -
SOUTHEAST ASIA, INTEGRATION, MACHINE LEARNING, MULTI-HAZARD, MULTI-CRITERIA ANALYSIS
by: Viola Chintia, Adria -
Solar, wind and their hybridization integration for multi-machine power system oscillation controllers optimization: a review
by: Sabo, Aliyu, et al.
Published: (2023) -
WIND : THE ALTERNATIVE SOURCE OF POWER FOR SINGAPORE AFTER SOLAR ENERGY?
by: CHEW KENG HUI
Published: (2012) -
Southeast Asia’s Haze Plight: Is Insurance a Suitable Preventive Mechanism?
by: Lim, Christopher, et al.
Published: (2016)