Electricity Demand Forecasting

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• Published Subscription Review Article 30 Oct 2026

  LightGBM-Based Grid Demand Estimation and Prediction for Intelligent Electricity Load Forecasting

  By Vineet Kumar Tiwari, Shashwat, Shubham Jaiswal, Siddhant Shukla, Abhay Nath Singh, Shreya Shukla

  Abstract: Correctly predicting electricity demand in emerging energy markets like India is the most effective way to maintain grid stability. This is particularly important. This article offers a comprehensive data- based structure that captures both the broad temporal dynamics and regional diversity. This technique utilizes a large-scale multi-dimensional feature space that includes temporal indicators, autoregressive lag terms, sliding-window rolling statistics, and state-level administrative markers. Our systematic benchmarking approach involves the use …

  Published in Journal of Power Electronics and Power Systems · Vol. 16, Issue 3, 2026 Read article →