Short-Term Probabilistic Interval Forecasting of Electricity, Cooling, and Heating Loads Using an Improved Osprey Optimization Algorithm-Based TCN-BiLSTM-QR Model
Integrated Energy Systems (IESs) are characterized by strong nonstationarity, seasonal heterogeneity, and stochastic fluctuations in electric, cooling, and heating loads, making accurate and reliable probabilistic forecasting challenging. To address this issue, this study proposes an Improved Osprey Optimization Algori...