Archana Singh

Probabilistic Time-Series Forecasting of Energy Demand Using ARIMA, Exponential Smoothing, and Prediction Interval Models

Time-series forecasting is essential for operational planning, risk management, and resource allocation in electricity systems, where demand varies across hourly, weekly, and seasonal cycles. This study develops a statistical-probabilistic forecasting framework for estimating future energy demand while explicitly quant...