… In the following result set we demonstrate how machine learning and deep learning can be
used to reach the goals of sustainable development by using the mentioned techniques for …

… Here we explore the extent to which machine learning (ML) techniques can help to address
many of these challenges 8,9,10 . ML models can be used to predict specific properties of …

… [43] investigate the application of Machine Learning and Deep Learning in various aspects
of biofuel production, including feedstock selection, process optimization, and fuel property …

… and sustainable development objectives. This review analyses machine learning's role in …
of solar and wind energy for a sustainable energy future. Ultimately, the purpose of this work …

… Machine Learning is a technique derived from AI that … of computational intelligence, ie,
Machine Learning and its aspects. In … of Machine learning, directing focus to Sustainable Future …

… , energy financing, and governance of sustainable financing and investing. To drive … future
sustainable finance research, which include developing and diffusing innovative sustainable …

… , and system performance, machine learning algorithms can forecast how much … machine
learning can be utilized to advance sustainability is the transportation sector. Machine learning …

… , artificial intelligence (AI) and machine learning (ML) have brought … Yet AI, by fostering
sustainable and efficient solutions, holds … Finally, quantum machine learning could be used for …

… , and remaining challenges of machine learning in sustainable energies into two parts to …
and sustainable energy experts. First, the major applications of machine learning are divided …

… , ML opportunities towards a smart and sustainable future, and recent progress on discovery
… We then go on to identify ML opportunities towards a smart and sustainable future in Sect. 6. …