Pakistan's power sector struggles with unreliable electricity supply due to weak transmission and distribution systems. The project develops a GIS-enabled tool for preventive maintenance, offering dynamic views of the grid to manage and update assets before they cause disruptions. This tool enhances system reliability, reduces costs, and helps optimize distribution through spatial analysis and accurate data management.
Our multi-microgrid system uses local renewable energy and storage to enhance regional energy reliability, while a virtual power plant (VPP) facilitates peer-to-peer energy trading across microgrids. This project optimizes energy distribution, supports renewable energy use, and offers insights for sustainable energy management and policy development.
Large language models (LLMs) like ChatGPT often generate generic responses, limiting their effectiveness in specialized fields like energy consumption analysis. The Assistance Program for Large-Language Models (APLM) aims to enhance ChatGPT's domain-specific capabilities by refining energy-related prompts. This approach ensures more accurate and relevant insights for energy professionals, improving decision-making and energy management.
The project pilots a wireless microgrid for electrifying rural areas in Pakistan, Asia, and Sub-Saharan Africa, integrating energy, food, and transportation. It features a battery-swapping station for three-wheeler EVs, solar PV on farms, and other renewable sources, aiming to enhance food security, lower battery costs, and reduce grid dependence.