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Abdullah F. Al-Aboosi, Aldo Jonathan Muñoz Vazquez, Fadhil Y. Al-Aboosi, Mahmoud El-Halwagi and Wei Zhan
Accurate prediction of renewable energy output is essential for integrating sustainable energy sources into the grid, facilitating a transition towards a more resilient energy infrastructure. Novel applications of machine learning and artificial intellig...
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Steven Guan, Ko-Tsung Hsu and Parag V. Chitnis
Simulation tools for photoacoustic wave propagation have played a key role in advancing photoacoustic imaging by providing quantitative and qualitative insights into parameters affecting image quality. Classical methods for numerically solving the photoa...
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Souhail Maazioui, Imad Kissami, Fayssal Benkhaldoun and Driss Ouazar
In this paper, an innovative methodology to handle the numerical simulation of viscoplastic flows is proposed based on a multigrid initialization algorithm in conjunction with the SIMPLE procedure. The governing equations for incompressible flow, which c...
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Yujie Zhang, Lei Zhang, Duo Sun, Kai Jin and Yu Gu
Wind power generation is a renewable energy source, and its power output is influenced by multiple factors such as wind speed, direction, meteorological conditions, and the characteristics of wind turbines. Therefore, accurately predicting wind power is ...
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Seyed Mahdi Miraftabzadeh, Cristian Giovanni Colombo, Michela Longo and Federica Foiadelli
Climate change and global warming drive many governments and scientists to investigate new renewable and green energy sources. Special attention is on solar panel technology, since solar energy is considered one of the primary renewable sources and solar...
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Shushant Kumar Jain, Rinkoo Bhatia, Neeraj Shrivastava, Sharad Salunke, Mohammad Farukh Hashmi and Neeraj Dhanraj Bokde
In the context of query-driven wireless sensor networks (WSNs), a unique scenario arises where sensor nodes are solicited by a base station, also known as a sink, based on specific areas of interest (AoIs). Upon receiving a query, designated sensor nodes...
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Linghui Kong, Haizhong Qian, Yuqing Wu, Xinyu Niu, Di Wang and Zhekun Huang
Building outlines are important for emergency response, urban planning, and change analysis and can be quickly extracted from remote sensing images and raster maps using deep learning technology. However, such building outlines often have irregular bound...
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Gergo Bendegúz Békési, Lilla Barancsuk, István Táczi and Bálint Hartmann
The work presented in this paper can be utilized by distribution system operators (DSO) in real-time operation planning and grid management on low-voltage (LV) level. The proposed techniques help in the effective usage of averaged annual consumptions (AA...
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Caleb Buffa, Vasit Sagan, Gregory Brunner and Zachary Phillips
This study predicts the presence or absence of terrorism in Europe on a previously unexplored spatial scale. Dependent variables consist of satellite imagery and socio-environmental data. Five machine learning models were evaluated over the following bin...
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Lirong Chen, Junyi Wang, Hui Wang and Tiancheng Jin
In urban environmental management and public health evaluation efforts, there is an urgent need for fine-grained urban air quality monitoring. However, the high price and sparse distribution of air quality monitoring equipment make it difficult to develo...
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