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Artificial intelligence and clean/dirty energy markets: tail-based pairwise connectedness and portfolio implications

Bechir Raggad, Elie Bouri • Future Business Journal (2025)

Abstract This study investigates the return and volatility connectedness between artificial intelligence (AI) stock ETF and each segment of the energy markets, namely clean energy, dirty energy, and WTI oil. Using a quantile-on-quantile con...

DOAJ Open Access (DOAJ) DOI: 10.1186/s43093-025-00451-8

Cryptocurrencies Transit to a Carbon Neutral Environment: From Fintech to Greentech Through Clean Energy and Eco-Efficiency Policies

Dimitrios Koemtzopoulos, Georgia Zournatzidou, Konstantina Ragazou, Nikolaos Sariannidis • Energies (2025)

Fintech prioritizes the progression of issues related to environmental conservation and the consequences of climate change. This study is among the first investigations exploring the relationship between fintech and sustainable energy. It p...

DOAJ Open Access (DOAJ) DOI: 10.3390/en18020291

The electrochemical effects of pitch stabilization for supercapacitor-grade activated carbon precursors

Jeong Han Lee, Min Ju O, Yong-Mook Kang, Kwang Chul Roh • Electrochemistry Communications (2024)

Petroleum pitch (PP) is a by-product generated during the petroleum refining process, characterized by its high carbon content, tunable structure, and cost-effectiveness. These attributes have spurred extensive research into its potential a...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.elecom.2023.107638

Are clean energy markets efficient? A multifractal scaling and herding behavior analysis of clean and renewable energy markets before and during the COVID19 pandemic

Bilal Ahmed Memon, Faheem Aslam, Shakhnoza Asadova, Paulo Ferreira • Heliyon (2023)

The literature lacks thorough and adequate evidence of the efficiency and herding behavior of clean and renewable energy markets. Therefore, the key objective of this paper is to explore the multifractality and efficiency of six clean energ...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.heliyon.2023.e22694

Relationship between green bonds and carbon neutrality: evidence from top five emitting countries’ sectoral CO2 emissions

Ugur Korkut Pata, Mustafa Tevfik Kartal, Zahoor Ahmed, Avik Sinha • Financial Innovation (2025)

Abstract This study analyzes the influence of green bonds on carbon neutrality. It examines the daily data of sectoral CO2 emissions of the top five CO2-emitting nations from January 2, 2019 to December 30, 2022 using wavelet transform cohe...

DOAJ Open Access (DOAJ) DOI: 10.1186/s40854-024-00691-7

An Optimization Model for Reliability Improvement and Cost Reduction Through EV Smart Charging

Jinping Zhao, Ali Arefi, Alberto Borghetti, Gerard Ledwich • Journal of Modern Power Systems and Clean Energy (2024)

There is a general concern that the increasing penetration of electric vehicles (EVs) will result in higher aging failure probability of equipment and reduced network reliability. The electricity costs may also increase, due to the exacerba...

DOAJ Open Access (DOAJ) DOI: 10.35833/MPCE.2022.000837

Quantum computing: A taxonomy, systematic review and future directions

Sukhpal Singh Gill, Adarsh Kumar, Harvinder Singh, Manmeet Singh et al. • Software Practice and Experience (2021)

Abstract Quantum computing (QC) is an emerging paradigm with the potential to offer significant computational advantage over conventional classical computing by exploiting quantum‐mechanical principles such as entanglement and superposition...

OPENALEX Open Access DOI: https://doi.org/10.1002/spe.3039

Political stability and good governance as catalysts for achieving sustainable cities, clean energy, and responsible consumption: evidence from an emerging economy

Shahid Mahmood, Asifa Iqbal, Amel Ali Alhussan, El-Sayed M. El-kenawy • Humanities & Social Sciences Communications (2025)

Abstract This study investigates the pivotal role of political stability, good governance, and institutional support in achieving Sustainable Development Goals (SDGs) 7, 11, and 12 in Pakistan, an emerging economy. SDG 7 deals with affordab...

DOAJ Open Access (DOAJ) DOI: 10.1057/s41599-025-06219-3

Deep hybrid neural net (DHN-Net) for minute-level day-ahead solar and wind power forecast in a decarbonized power system

Olusola Bamisile, Dongsheng Cai, Humphrey Adun, Chukwuebuka Ejiyi et al. • Energy Reports (2023)

The need to reduce global carbon emissions has led to a significant increase in clean energy globally. While renewable energy penetration into energy grids and power systems is increasing in many countries, the intermittency and stochastic ...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.egyr.2023.05.229

Fast Exploring Literature by Language Machine Learning for Perovskite Solar Cell Materials Design

Lei Zhang, Yiru Huang, Leiming Yan, Jinghao Ge et al. • Advanced Intelligent Systems (2024)

Making computers automatically extract latent scientific knowledge from literature is highly desired for future materials and chemical research in the artificial intelligence era. Herein, the natural language processing (NLP)‐based machine ...

DOAJ Open Access (DOAJ) DOI: 10.1002/aisy.202300678

Understanding the role of autoencoders for stiff dynamical systems using information theory

Vijayamanikandan Vijayarangan, Harshavardhana A. Uranakara, Francisco E. Hernández–Pérez, Hong G. Im • Energy and AI (2025)

Using information theory, this study provides insights into how the construction of latent space of autoencoder (AE) using deep neural network (DNN) training finds a smooth (non-stiff) low-dimensional manifold in the stiff dynamical system....

DOAJ Open Access (DOAJ) DOI: 10.1016/j.egyai.2025.100567