Results 51 to 60 of about 10,099,680 (281)

Low‐Dimensional Materials and Van Der Waals Heterostructures for Energy Application: A Comprehensive Review

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Low‐dimensional materials (0D, 1D, and 2D) exhibit unique electronic and physicochemical properties, enabling advanced nanoelectronic and optoelectronic devices. Mixed‐dimensional heterostructures combine these materials to enhance functionality.
Qaisar Alam   +3 more
wiley   +1 more source

Review on Communication Technologies for Low‑Altitude Economy

open access: yesNanjing Hangkong Hangtian Daxue Xuebao
With the rapid development of the low-altitude economy, the scale of low-altitude aircraft operations continues to expand, and the demand for efficient and reliable communication networks is becoming increasingly urgent.
DING Xuhui   +7 more
doaj   +1 more source

Lignocellulosic Triboelectric Materials for Energy Harvesting and Emerging Applications: A Review on Lignin‐Molecular Engineering toward Improved Performance

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Contrasting sustainable biomass with depleting petroleum resources, this review charts the evolutionary timeline of lignin‐based TENGs. We systematically evaluate their fundamental mechanisms, enhancement strategies, and applications in green self‐powered electronics.
Yuxin Yang   +9 more
wiley   +1 more source

Current Status and Development Trend of Low-Altitude Economy Industry in Orchards

open access: yes智慧农业
[Significance]The low-altitude economy in orchards represents a key emerging direction in the integrated development of new-quality productive forces in agriculture.
WANG Xuechang   +6 more
doaj   +1 more source

The Impact of Low-Altitude Economy on the Development of Tourism

open access: yesFrontiers in Business, Economics and Management
This paper focuses on the development of China's low-altitude economy and its impact on the tourism industry. Through literature analysis, it defines low-altitude economy and low-altitude tourism, and conducts in-depth research on the industrial chain and development directions of the low-altitude economy. By examining application scenarios and typical
Juntong Chen, Dong Li, Yuhang Ren
openaire   +1 more source

Hybrid Simulation–Machine Learning Surrogates for Coordinate‐Based Solar and Wind Energy Yield Assessment in Iraq: A Streamlit Decision‐Support Tool

open access: yesEnergy Science &Engineering, EarlyView.
This study integrates climatic simulations with machine learning to predict solar and wind energy across Iraq. Results show Random Forest excels for solar (R2 = 0.98) and neural networks for wind (R2 = 0.97), enabling a practical web tool for renewable energy planning. ABSTRACT Driven by the global shift away from fossil fuels, solar and wind resources
Bassam Musheer Kareem   +3 more
wiley   +1 more source

Techno‐Economic and Quasi‐Dynamic Load Flow Analysis of a Hybrid Renewable Microgrid for Coastal Industrial Loads

open access: yesEnergy Science &Engineering, EarlyView.
A hybrid PV–wind grid‐connected microgrid for Mongla Port is optimized using HOMER Pro and validated via DIgSILENT quasi‐dynamic load flow. The system achieves a low cost of energy (0.0341 USD/kWh), 70.9% renewable penetration, improved voltage stability, and significant emission reduction, demonstrating a reliable and cost‐effective solution for ...
Md. Behesty Hasan Sagor   +6 more
wiley   +1 more source

Reducing CO2 emissions : nuclear and the alternatives [PDF]

open access: yes, 2012
This paper is the second in a series of 8 that make up the evidence base for SDC report 'The role of nuclear power in a low carbon economy'.Publisher ...
Sustainable Development Commission
core   +2 more sources

6DMA-Enabled ISAC for Low-Altitude Economy

open access: yesIEEE Transactions on Consumer Electronics
This manuscript was accepted by ...
Yingchao Jiao   +6 more
openaire   +2 more sources

Predicting Solar Photovoltaic Power Output in Saudi Arabia's Jazan Region: Performance Comparison of Machine Learning Models

open access: yesEnergy Science &Engineering, EarlyView.
Workflow of the PV power estimation and ML forecasting methodology. ABSTRACT Accurate prediction of solar panel energy output is vital for managing power systems effectively and maintaining a stable electrical grid. This is especially important in regions that rely heavily on renewable sources. This research provides a direct comparison of five machine
Abdoalateef Alzhrani   +4 more
wiley   +1 more source

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