Techno-economic analysis of cutting-edge PV systems deployment and reconfigurations on rooftop industrial building in Saudi Arabia’s eastern region by Abdulrhman Klifa Al-Hanoot, Hazlie Mokhlis, Saad Mekhilef, Mohammad Alghoul, Hussain Shareef, Zaid Alotaibi

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A clean energy Korea by 2035: Transitioning to 80% carbon-free electricity generation by Won Young Park, Yong Hyun Song, Nikit Abhyankar, Hee Seung Moon, Umed Paliwal, Eunsung Kim, Nina Khanna, Sanghyun Hong, James Hyungkwan Kim, Kenji Shiraishi, Jiang Lin, Seung Wan Kim, Amol Phadke

“…We analyze economic decarbonization pathways for Korea’s electric power sector by 2035, leveraging optimal capacity expansion and hourly dispatch modeling to assess the opportunities and constraints in the power systems and reflecting expected rapid declines in the costs of solar, wind, and battery storage technologies. …”
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The role of solar thermal hydrogen production technologies in future energy solutions: A review by Md. Shameem Hossain, Md. Nasirul Islam, Khaza Shahriar, Mohammad Mujtaba Hasan, Md. Sohag Hossain

“…The essential conceptual message of this research lies in combined hydrogen production and concentrating solar power systems, which show that the mentioned systems can produce hydrogen with a solar-to-hydrogen efficiency reaching 45%. …”
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Allocation and control of multi-devices voltage regulation in distribution systems via rough set theory and grasshopper algorithm: A practical study by Abdullah M. Elsayed, Ali M. El-Rifaie, Marwa F. Areed, Abdullah M. Shaheen, Mohamed Osman Atallah

“…The distribution system is the largest component of electrical power systems, playing a crucial role in delivering electricity to consumers. …”
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A Novel Electrical Load Forecasting Model for Extreme Weather Events Based on Improved Gated Spiking Neural P Systems and Frequency Enhanced Channel Attention Mechanism by Yuanshuo Guo, Jun Wang, Yan Zhong, Tao Wang, Zeyuan Sui

“…In addition, to address load prediction challenges posed by extreme weather and promote the sustainable development of power systems, the proposed model integrates many models to solve this problem. …”
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Explainable AI in Diagnostic Radiology for Neurological Disorders: A Systematic Review, and What Doctors Think About It by Yasir Hafeez, Khuhed Memon, Maged S. AL-Quraishi, Norashikin Yahya, Sami Elferik, Syed Saad Azhar Ali

“…Imagining techniques like magnetic resonance imaging (MRI), computed tomography (CT), and positron emission tomography (PET) scans have been widely and very effectively employed by radiologists and neurologists for the differential diagnoses of neurological disorders for decades, yet no AI-powered systems to analyze such scans have been incorporated into the standard operating procedures of healthcare systems. …”
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Vegetable Crop Growth Modeling in Digital Twin Platform Based on Large Language Model Inference by ZHAO Chunjiang, LI Jingchen, WU Huarui, YANG Yusen

“…Beyond accuracy, the LLM-powered system also excels in its ability to simulate growth trajectories over extended periods, enabling farmers and agricultural managers to anticipate potential challenges and make proactive decisions. …”
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