[HTML][HTML] Energy system analysis with a focus on future energy demand projections: the case of Norway
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 …
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 …
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
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 …
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
Governments, institutions, and organizations focused on renewable and green energy
problems have provided significant support and incentives for project development in recent …
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 …
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
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 …
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 …
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 …
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 …
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
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 …
of fossil fuels to meet global energy needs has made the transition to cleaner energy …