[HTML][HTML] Energy system analysis with a focus on future energy demand projections: the case of Norway

L Malka, F Bidaj, A Kuriqi, A Jaku, R Roçi… - Energy, 2023 - Elsevier
Post Covid-19 pandemic and the Ukrainian war are significantly impacting energy systems
worldwide, faltering investments and threatening to throttle the expansion of primary clean …

Global, regional, and local acceptance of solar power

K Nuortimo, J Harkonen, K Breznik - Renewable and Sustainable Energy …, 2024 - Elsevier
This study aims to analyse solar power acceptance by different methods in various
knowledge domains to gain a holistic view of global, regional, and local acceptance. This …

Perspectives of Machine Learning and Natural Language Processing on Characterizing Positive Energy Districts

M Han, I Canli, J Shah, X Zhang, IG Dino, S Kalkan - Buildings, 2024 - mdpi.com
The concept of a Positive Energy District (PED) has become a vital component of the efforts
to accelerate the transition to zero carbon emissions and climate-neutral living …

Selecting the ideal sustainable green strategy for logistics companies using a T-spherical fuzzy-based methodology

A Aytekin, S Korucuk, ŞB Bedirhanoğlu… - Engineering Applications of …, 2024 - Elsevier
Governments, institutions, and organizations focused on renewable and green energy
problems have provided significant support and incentives for project development in recent …

[PDF][PDF] Extracting Meaning from Textual Data for Evaluation

V Ziulu, H Anuj, A Hagh, E Raimondo… - Artificial Intelligence …, 2025 - library.oapen.org
Assessing the relevance and effectiveness of development interventions tends to be a
challenging task due to the complexity of the social, cultural, institutional, economic, and …

Developing a profile of medium-and heavy-duty electric vehicle fleet adopters with text mining and machine learning

F Ouren, D Trinko, T Coburn, S Simske… - Renewable Energy …, 2023 - Elsevier
The transportation sector must rapidly decarbonize to meet its emissions reduction targets.
Medium-and heavy-duty decarbonization is lagging the light-duty sector due to technical …

[HTML][HTML] Synergizing human insight and machine learning: A dual-lens approach to uncovering healthcare research and innovation outcomes

S Horck, S Steens, J Kaminski - International Journal of Information …, 2024 - Elsevier
Many healthcare organisations have extensive documentation detailing the processes
behind their various research and innovation projects. Analysing this data can provide …

Unsupervised learning and natural language processing highlight research trends in a superbug

CF Méndez-Cruz, J Rodríguez-Herrera… - Frontiers in Artificial …, 2024 - frontiersin.org
Introduction Antibiotic-resistant Acinetobacter baumannii is a very important nosocomial
pathogen worldwide. Thousands of studies have been conducted about this pathogen …

Using LDA Topic Modeling to Understand Regrowth Factors of the Chinese Gaming Industry in the COVID-19 Era: Current Situation, Future and Predicament

YQ Han, WJ Jeong, GS Oh, SH Oh… - Journal of Web …, 2023 - ieeexplore.ieee.org
The gaming industry, which was among the industries least affected by the COVID-19
outbreak, exhibited positive growth trends during the COVID-19 period. This paper explores …

Energy Transition, the Next Hotspot of Energy Research: A Study Using Topic Modeling

SK Trivedi, A Singh, M Irfan… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The rapid increase in the amount of greenhouse gas emissions resulting from the utilization
of fossil fuels to meet global energy needs has made the transition to cleaner energy …