从故乡停电夜到天津实验室：一名巴基斯坦籍博士生的“光明之约”

Core Viewpoint - The article highlights the journey of a Pakistani PhD student, Muhammad Sharal, who is developing an AI-based comprehensive energy real-time simulation system at Tianjin University, aiming to provide stable and affordable electricity for regions like his hometown in Pakistan, which suffers from unreliable power supply [1][2][4]. Group 1: Background and Motivation - Muhammad Sharal's hometown in Pakistan faces frequent power outages due to harsh weather conditions, which inspired his interest in technology that can provide stable electricity [2]. - After obtaining a bachelor's degree in electrical engineering, he worked on a public safety integrated command system but realized the need for advanced knowledge in renewable energy [4][5]. - His pursuit of knowledge led him to China, where he recognized the significant advancements in renewable energy and AI technology [4][5]. Group 2: Research Focus and Contributions - Currently, Sharal's research focuses on predicting and optimizing renewable energy storage in urban energy systems, utilizing deep learning techniques to enhance system efficiency and sustainability [7][9]. - His work is part of a broader trend of integrating AI with energy systems, which is crucial for stabilizing power supply in remote areas [7]. Group 3: Cultural and Collaborative Aspects - Sharal appreciates the cultural blend in Tianjin, which inspires his research and innovation [8]. - He aims to bridge technology cooperation between China and Pakistan, intending to apply the knowledge gained in China to improve energy systems in his home country [9].