Energy Economics, Journal Year: 2024, Volume and Issue: 140, P. 107976 - 107976
Published: Nov. 2, 2024
Language: Английский
Frontiers in Sustainability, Journal Year: 2025, Volume and Issue: 5
Published: Jan. 9, 2025
Data centers are poised for unprecedented growth due to a revolution in Artificial Intelligence (AI), rise cryptocurrency mining, and increasing cloud demand data storage. A sizable portion of the centers’ will occur US, requiring tremendous amount power. Our hypothesis is that expansion contribute an increase US CO 2 emissions. To estimate emissions, we applied three forecasted power demands 56 NREL (National Renewable Energy Laboratory) mixes policy scenario cases using 11 AI models. Among these, linear regression model yielded most accurate predictions with highest R-square. We found overall emissions could up 0.4–1.9% by 2030. This represents ~3–14% from sector Using state-level mix forecasts 2030 among emission scenarios, predict Virginia’s maintain line average, while Texas, Illinois, Washington’s expected reduce greater renewables their However, Illinois Washington may face challenges limited resource availability. In contrast, New York California’s higher natural gas The variability center stems AI-driven improvements efficiency followed mix. centers, offer pathways such as reducing consumption, improving renewable sources, hydrogen plants. propose focusing on Mexico Colorado minimize Finally, highlight set federal policies supplemented states facilitate reductions across energy, waste, R&D, grid infrastructure.
Language: Английский
Citations
0
Recent Research Reviews Journal, Journal Year: 2025, Volume and Issue: 3(2), P. 468 - 481
Published: Jan. 1, 2025
This study investigates the role of digitalization and advanced computing technologies in enhancing sustainability across key sectors, including agriculture, water management, energy systems, climate research, manufacturing. The objective is to assess how innovations like federated learning, blockchain, edge computing, digital twins, quantum with traditional methods such as artificial intelligence (AI), remote sensing, precision farming, contribute achievement United Nations’ Sustainable Development Goals. highlights advantages these technologies, enhanced efficiency, resource optimization, data-driven decision-making. However, it also identifies challenges, high implementation costs, data dependency, gaps literacy, which may hinder their widespread adoption. Additionally, research presents recommendations for improving low-cost biodegradable sensors, explainable AI models, hybrid systems address limitations. findings emphasize need inclusive infrastructure development, effective policymaking, collaborative efforts maximize potential impact on sustainability. Overall, provides a comprehensive overview current landscape suggests avenues further progress utilizing support sustainable development.
Language: Английский
Citations
0
Frontiers in Computer Science, Journal Year: 2025, Volume and Issue: 7
Published: Feb. 18, 2025
Quantum Natural Language Processing (QNLP) is a relatively new subfield of research that extends the application principles natural language processing and quantum computing has enabled complex biological information to unprecedented levels. The present comprehensive review analyses potential QNLP in influencing many branches bioinformatics such as genomic sequence analysis, protein structure prediction, drug discovery design. To establish correct background techniques, this article going explore basics including qubits, entanglement, algorithms. next section devoted extraction material valuable knowledge related development, prediction assessment drug-target interactions. In addition, paper also explains structural by embedding, simulation, optimization for exploring sequence-structure relationship. However, study acknowledges future discussion challenges weaknesses hardware, data representation, encoding, construction enhancement This looks into real-life problems solved from industry applications, benchmarking criteria, comparison with other traditional NLP methods. Therefore, enunciates perspectives, well developmental implementation blueprint bioinformatics. plan follows: its function achieve objectives precision medicine, design, multi-omics, green chemistry.
Language: Английский
Citations
0
Energy Economics, Journal Year: 2024, Volume and Issue: unknown, P. 108017 - 108017
Published: Oct. 1, 2024
Language: Английский
Citations
3
Energy Economics, Journal Year: 2024, Volume and Issue: 140, P. 107976 - 107976
Published: Nov. 2, 2024
Language: Английский
Citations
2