Artificial Intelligence and Machine Learning in Energy Conversion and Management
In the modern era, where the global energy sector is transforming to meet the decarbonization goal, cutting-edge information technology integration, artificial intelligence, and machine learning have emerged to boost energy conversion and management innovations. Incorporating artificial intelligence...
Main Authors: | Konstantinos Mira, Francesca Bugiotti, Tatiana Morosuk |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-11-01
|
Series: | Energies |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1073/16/23/7773 |
Similar Items
-
Development Status and Prospects of Artificial Intelligence in the Field of Energy Conversion Materials
by: Xinyi Yang, et al.
Published: (2020-07-01) -
Artificial Intelligence and Machine Learning for Energy Consumption and Production in Emerging Markets: A Review
by: David Mhlanga
Published: (2023-01-01) -
Artificial intelligence and machine learning in energy systems: A bibliographic perspective
by: Ashkan Entezari, et al.
Published: (2023-01-01) -
Combining Artificial Intelligence with Physics-Based Methods for Probabilistic Renewable Energy Forecasting
by: Sue Ellen Haupt, et al.
Published: (2020-04-01) -
Artificial Intelligence‐Based Material Discovery for Clean Energy Future
by: Reza Maleki, et al.
Published: (2022-10-01)