Applying data into action: AI- powered solutions for mitigating climate change and fostering sustainable future
Applying data into action: AI- powered solutions for mitigating climate change and fostering sustainable future
AI has the potential to accelerate climate action through applications like solar power generation, heating and cooling systems, and deforestation detection. It has also been used to impede the fight against climate change. AI can analyze large amounts of data, aiding policymakers in understanding complex relationships between the environment and human behavior. AI- driven predictive analytics can predict extreme weather events, improve agricultural productivity, and enhance resource management. Integrating AI technologies into climate policies requires governance and policy frameworks.
50-74
Satpathy, Ipseeta
71427da3-0f69-4617-874c-8b881e39b13e
Nayak, Ankita
493b0274-39c6-4e6d-8d9c-56bfe3fefabf
Jain, Vishal
45a126b0-b292-48ca-b7b7-45d9b2c14724
Padmadas, Sabu S.
64b6ab89-152b-48a3-838b-e9167964b508
1 January 2024
Satpathy, Ipseeta
71427da3-0f69-4617-874c-8b881e39b13e
Nayak, Ankita
493b0274-39c6-4e6d-8d9c-56bfe3fefabf
Jain, Vishal
45a126b0-b292-48ca-b7b7-45d9b2c14724
Padmadas, Sabu S.
64b6ab89-152b-48a3-838b-e9167964b508
Satpathy, Ipseeta, Nayak, Ankita, Jain, Vishal and Padmadas, Sabu S.
(2024)
Applying data into action: AI- powered solutions for mitigating climate change and fostering sustainable future.
In,
Riswandi, Budi Agus, Singh, Bhupinder, Kaunert, Christian and Vig, Komal
(eds.)
AI Applications for Clean Energy and Sustainability.
IGI Global, .
(doi:10.4018/979-8-3693-6567-0.ch004).
Record type:
Book Section
Abstract
AI has the potential to accelerate climate action through applications like solar power generation, heating and cooling systems, and deforestation detection. It has also been used to impede the fight against climate change. AI can analyze large amounts of data, aiding policymakers in understanding complex relationships between the environment and human behavior. AI- driven predictive analytics can predict extreme weather events, improve agricultural productivity, and enhance resource management. Integrating AI technologies into climate policies requires governance and policy frameworks.
This record has no associated files available for download.
More information
Published date: 1 January 2024
Identifiers
Local EPrints ID: 499951
URI: http://eprints.soton.ac.uk/id/eprint/499951
PURE UUID: 0aa1e4c0-7b24-4dc6-9188-a54e4f9594c0
Catalogue record
Date deposited: 09 Apr 2025 18:44
Last modified: 10 Apr 2025 01:40
Export record
Altmetrics
Contributors
Author:
Ipseeta Satpathy
Author:
Ankita Nayak
Author:
Vishal Jain
Editor:
Budi Agus Riswandi
Editor:
Bhupinder Singh
Editor:
Christian Kaunert
Editor:
Komal Vig
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics
