Profiling public perception of emerging technologies: gene editing, brain chips and exoskeletons. A data-analytics framework DOI Creative Commons
Simona‐Vasilica Oprea, Adela Bârã

Heliyon, Journal Year: 2024, Volume and Issue: 10(22), P. e40268 - e40268

Published: Nov. 1, 2024

Three AI developments, classified as forms of human enhancements, center around progress at the intersection AI, nanotechnology and biotechnology. Our research advances understanding enhancement by data-driven analytics offers practical tools for future societal applications. It is based on a survey that was launched PRC in February 2021 to more than 5,000 respondents from U.S. consists about 100 questions are grouped using prefix code 3 above-mentioned enhancement, science role, concerns excitements, perceived algorithm fairness demographics. To investigate this extract insights regarding general attitude, data framework proposed clustering DBSCAN K-means, ANOVA clusters, PCA, t-SNE UMAP graphical visualization, prediction advanced customers' profiles analyses. Both methods indicate distinct customers. Most them moderate, but two smaller groups define tech-ethics advocates tech-forward visionaries. For prediction, multi-class classification task, ROC-AUC score 0.852 average F1 Score 0.987. Following results, both technology creators legislators must work collaboratively ensure technological advancements ethically grounded, widely accepted aligned with values.

Language: Английский

A conceptual meta‐level digital twin architecture for energy communities in Romania and other ex‐communist countries DOI Open Access
Simona‐Vasilica Oprea, Adela Bârã

Environmental Progress & Sustainable Energy, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 30, 2025

Abstract In contrast to the prevalent ecological motivations seen in European Energy Communities (ECs), Romania, driving forces behind EC initiatives are somewhat different. Approximately 60% of these primarily focused on addressing energy poverty. The remaining 40% driven by a desire for autonomy. This article explores intricate landscape projects, focusing their role aligning with climate change necessities. We delve into current state industry, identifying critical needs, gaps, and challenges that hinder full potential. Furthermore, we propose potential research directions bridge emphasizing development Meta‐level digital twin (DT) architecture. It aims enhance decision‐making processes simulating systems real‐time responses various scenarios regulatory changes. Then, focus cost‐effectiveness installing PV Romania estimate technical households (12.9 GW) prosumers' installations 2030 2050. To forecast adoption from 2025 2050, proposed model relies several assumptions, such as annual decreases CAPEX 1%, OPEX 0.15%, increment electricity prices 0.1% per year, degradation rate year systems. following projections obtained (3948 MW) 2050 (5265 MW), estimating growth will be 33%.

Language: Английский

Citations

0
MLSC: A Multi-label Stock Classifier for Multi-horizon Stock Trend Prediction DOI
Ibanga Kpereobong Friday,

Sarada Prasanna Pati,

Debahuti Mishra

et al.

Computational Economics, Journal Year: 2025, Volume and Issue: unknown

Published: April 17, 2025

Language: Английский

Citations

0
Technical Analysis and Machine Learning Applied to the Short-Term Electricity Trading Market: Italian and Brazilian Cases DOI
Raphael Paulo Beal Piovezan, Pedro Paulo de Andrade, Sérgio Luciano Ávila

et al.

Computational Economics, Journal Year: 2025, Volume and Issue: unknown

Published: April 25, 2025

Language: Английский

Citations

0
Integrating PNN classification and ELM-Bootstrap for enhanced Day-Ahead negative price forecasting DOI
Stylianos Loizidis, Venizelos Venizelou, Andreas Kyprianou

et al.

Applied Energy, Journal Year: 2025, Volume and Issue: 392, P. 126013 - 126013

Published: May 2, 2025

Language: Английский

Citations

0
From day-ahead to mid and long-term horizons with econometric electricity price forecasting models DOI Creative Commons

Paul Ghelasi,

Florian Ziel

Renewable and Sustainable Energy Reviews, Journal Year: 2025, Volume and Issue: 217, P. 115684 - 115684

Published: April 25, 2025

Language: Английский

Citations

0
Profiling public perception of emerging technologies: gene editing, brain chips and exoskeletons. A data-analytics framework DOI Creative Commons
Simona‐Vasilica Oprea, Adela Bârã

Heliyon, Journal Year: 2024, Volume and Issue: 10(22), P. e40268 - e40268

Published: Nov. 1, 2024

Three AI developments, classified as forms of human enhancements, center around progress at the intersection AI, nanotechnology and biotechnology. Our research advances understanding enhancement by data-driven analytics offers practical tools for future societal applications. It is based on a survey that was launched PRC in February 2021 to more than 5,000 respondents from U.S. consists about 100 questions are grouped using prefix code 3 above-mentioned enhancement, science role, concerns excitements, perceived algorithm fairness demographics. To investigate this extract insights regarding general attitude, data framework proposed clustering DBSCAN K-means, ANOVA clusters, PCA, t-SNE UMAP graphical visualization, prediction advanced customers' profiles analyses. Both methods indicate distinct customers. Most them moderate, but two smaller groups define tech-ethics advocates tech-forward visionaries. For prediction, multi-class classification task, ROC-AUC score 0.852 average F1 Score 0.987. Following results, both technology creators legislators must work collaboratively ensure technological advancements ethically grounded, widely accepted aligned with values.

Language: Английский

Citations

0