STM Journals Peer-reviewed research from Consortium e-Learning Network

Journal of Polymer & Composites Original Research Special issue

AI-Driven Lightning Strike Prediction Using Polymer-Integrated Sensor Platforms for Climate-Resilient Energy Systems in India

  1. Kusum Tharani Department of Electrical and Electronics Engineering, Bharati Vidyapeeth’s College of Engineering
  2. K. Sudha Department of Electrical and Electronics Engineering, Bharati Vidyapeeth’s College of Engineering
  3. Surinder Kaur Department of Information Technology, Bharati Vidyapeeth’s College of Engineering
  4. Manish Talwar Department of Instrumentation and Control Engineering, Bharati Vidyapeeth’s College of Engineering
  5. Neeraj Kumar Department of Electrical and Electronics Engineering, Bharati Vidyapeeth’s College of Engineering

Abstract

Lightning strikes are a major climate-related threat to India, resulting in severe human injuries as well as regular damages to the power transmission network and renewable energy infrastructure. This research aims to introduce the concept of an AI-based lightning strike prediction and mitigation system with the integration of polymers for making climate-resilient energy infrastructure. Multidata are collected based on satellite images, climate variables, as well as surface-based sensing modules, and are further processed with machine learning algorithms such as the Random Forest approach, Convolutional Neural Network models, and Long Short-Term Memory network models for accurate spatial-temporal predictions of lightning strikes. One of the primary contributions of this research work is the adaptation of advanced polymer and composite materials. Conductive polymers and polymer nanocomposites are proposed to be identified and analyzed for developing lightweight lightning sensors and protectors. The increased electronic conductivity and dielectric strength of these materials enable their effective use in smart grid applications. The development of AI-based predictive systems and the adaptation of advanced polymer and composite technologies and materials can improve lightning warning systems and create smart and reliable energy systems in India. The development of advanced AI-based predictive systems provides an increased degree of accuracy and reliability. The increased accuracy of AI-based systems reduces the reliance on manual calculations.

Keywords

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