Artificial intelligence in sustainable energy industry: Status Quo, challenges and opportunities

T Ahmad, D Zhang, C Huang, H Zhang, N Dai… - Journal of Cleaner …, 2021 - Elsevier
The energy industry is at a crossroads. Digital technological developments have the
potential to change our energy supply, trade, and consumption dramatically. The new …

[HTML][HTML] Distributed energy systems: A review of classification, technologies, applications, and policies

TB Nadeem, M Siddiqui, M Khalid, M Asif - Energy Strategy Reviews, 2023 - Elsevier
The sustainable energy transition taking place in the 21st century requires a major
revamping of the energy sector. Improvements are required not only in terms of the …

State-of-the-art artificial intelligence techniques for distributed smart grids: A review

SS Ali, BJ Choi - Electronics, 2020 - mdpi.com
The power system worldwide is going through a revolutionary transformation due to the
integration with various distributed components, including advanced metering infrastructure …

Skin cancer disease detection using transfer learning technique

J Rashid, M Ishfaq, G Ali, MR Saeed, M Hussain… - Applied Sciences, 2022 - mdpi.com
Melanoma is a fatal type of skin cancer; the fury spread results in a high fatality rate when
the malignancy is not treated at an initial stage. The patients' lives can be saved by …

Skin cancer disease images classification using deep learning solutions

MM Mijwil - Multimedia Tools and Applications, 2021 - Springer
Skin cancer is a type of dangerous disease, and early detection is necessary to increases
the survival rate. In recent years, deep learning models applied to computerized skin cancer …

[HTML][HTML] Digitalization in decarbonizing electricity systems–Phenomena, regional aspects, stakeholders, use cases, challenges and policy options

F Heymann, T Milojevic, A Covatariu, P Verma - Energy, 2023 - Elsevier
Digitalization is a megatrend that affects and transforms societal, economic, and
environmental processes on a global scale. Driven by a combination of technological …

AI-Driven urban energy solutions—from individuals to society: a review

K Stecuła, R Wolniak, WW Grebski - Energies, 2023 - mdpi.com
This paper provides a comprehensive review of solutions based on artificial intelligence (AI)
in the urban energy sector, with a focus on their applications and impacts. The study …

The dual role of artificial intelligence in developing smart cities

ME Zamponi, E Barbierato - Smart Cities, 2022 - mdpi.com
Defining smart city pillars, and their nature and essence, continues to be debated in the
scientific literature. The vast amount of information collected by electronic devices, often …

Enhancing skin cancer detection and classification in dermoscopic images through concatenated MobileNetV2 and xception models

RO Ogundokun, A Li, RS Babatunde, C Umezuruike… - Bioengineering, 2023 - mdpi.com
One of the most promising research initiatives in the healthcare field is focused on the rising
incidence of skin cancer worldwide and improving early discovery methods for the disease …

Power resilience enhancement of a residential electricity user using photovoltaics and a battery energy storage system under uncertainty conditions

N Manoj Kumar, A Ghosh, SS Chopra - Energies, 2020 - mdpi.com
Even in today's modern electric grid infrastructure, the uncertainty in the power supply is
more often seen and is mainly due to power outages. The reasons for power outages might …