Energy, Journal Year: 2024, Volume and Issue: unknown, P. 134220 - 134220
Published: Dec. 1, 2024
Language: Английский
Energy, Journal Year: 2024, Volume and Issue: unknown, P. 134220 - 134220
Published: Dec. 1, 2024
Language: Английский
Energy Reports, Journal Year: 2024, Volume and Issue: 11, P. 5760 - 5785
Published: May 28, 2024
With the increasing energy demands of 21st century, there is a clear need for developing more sustainable method generation, distribution, and transmission. Modern power grid infrastructures are currently managing these aspects, though their outdated configuration results in rigid inefficient operation. The emerging technology Smart Grids offers innovative solutions to issues, utilizing advanced communication computation structures. Through integration bidirectional information flow, smart systems, renewable sources, next generation grids, enabling cooperativity, automation, efficiency. Even on small scales, proposed benefits Grid substantial maintaining use with growing demands. In this survey, we provide comprehensive overview technology, specifically focusing challenges presented by cybersecurity, interoperability, integration. These aspects were determined be most prevalent issues facing advancement Grids, global application. We discuss thoroughly, determining difficulties they induce literature. As such, survey intended reference other researchers, providing state-of-the-art approaches solving problems, as well offering insights ongoing future endeavors. Additionally, will highlight current state implementation through an analysis programs research being conducted academic institutions, industry, government.
Language: Английский
Citations
21Ad Hoc Networks, Journal Year: 2024, Volume and Issue: 160, P. 103519 - 103519
Published: April 17, 2024
Language: Английский
Citations
9Energy, Journal Year: 2025, Volume and Issue: unknown, P. 135423 - 135423
Published: March 1, 2025
Language: Английский
Citations
0Sensors, Journal Year: 2025, Volume and Issue: 25(7), P. 2062 - 2062
Published: March 26, 2025
Power equipment maintenance work orders are vital in power management because they contain detailed information such as specifications, defect reports, and specific activities. However, due to limited research into automated extraction, valuable operational data remain underutilized. A key challenge is recognizing unstructured Chinese texts filled with specialized abbreviated terms unique the sector. Existing named entity recognition (NER) solutions often fail effectively manage these complexities. To tackle this, this paper proposes a NER model tailored orders. First, dataset called (PE-MWO) constructed, which covers seven categories. Next, novel position- similarity-aware attention module proposed, where an innovative position embedding method score calculation designed improve model's contextual understanding while keeping computational costs low. Further, main body, combined BERT-wwm-ext conditional random field (CRF) modules, efficient jointly constructed. Finally, validated on PE-MWO five public datasets, our shows high accuracy sector entities, outperforming comparative models datasets.
Language: Английский
Citations
0Computers, Journal Year: 2024, Volume and Issue: 13(7), P. 169 - 169
Published: July 8, 2024
Renewable energy sources play a critical role in all governments’ and organizations’ management sustainability plans. The solar cell represents one such renewable resource, generating power population-free circumference. Integrating these with the smart grids leads to generation of green grids. Smart are for modernizing electricity distribution by using new communication technologies that improve system efficiency, reliability, sustainability. assist balancing supply demand allowing real-time monitoring administration, as well accommodating reducing outages. However, their execution presents considerable problems. High upfront expenditures need substantial reliable infrastructure changes present challenges. Despite challenges, shifting is resilient adaptable future can fulfill changing consumer demands environmental aims. To this end, work considers developing Internet Things (IoT)-based grid. proposed grid integrates traditional provides control unit between consumption parts deploys intelligent IoT units manage effectively. framework paradigm distributed edge computing four levels provide efficient data offloading management. developed outperformed terms its reliability efficiency. reduces over area an average 24.3% compared
Language: Английский
Citations
2Published: April 29, 2024
Language: Английский
Citations
2Energy Economics, Journal Year: 2024, Volume and Issue: 139, P. 107928 - 107928
Published: Sept. 24, 2024
Language: Английский
Citations
2Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 25 - 61
Published: Oct. 11, 2024
Language: Английский
Citations
0E3S Web of Conferences, Journal Year: 2024, Volume and Issue: 581, P. 01015 - 01015
Published: Jan. 1, 2024
Using optimization techniques based on neural networks, this study explores how microgrids might integrate renewable energy sources. Dealing with problems caused by the uncertainty and unpredictability of generation is primary goal. Renewable has been showing encouraging trends, according to data analysis spanning many time periods. From 120 kWh 140 kWh, there was a steady rise 16.67% in solar utilization. Also, an 18.75% rise, from 80 95 use wind power. There 30% 50 65 output biomass energy. Microgrid load utilization shows rising demands commercial, industrial, residential areas. Commercial industrial loads climbed 15% 10%, respectively, while increased 150 165 kWh. With predictions at 98.4%, 95.5%, 97.3%, made using networks were highly congruent actual
Language: Английский
Citations
0Energy, Journal Year: 2024, Volume and Issue: unknown, P. 134220 - 134220
Published: Dec. 1, 2024
Language: Английский
Citations
0