P-ConvLSTM: An Effective Parallel ConvLSTM-based model for Short-term Electricity Load Forecasting
Nilakanta Kshetrimayum,
Khumukcham Robindro Singh,
Nazrul Hoque
Abstract:Short-term Load Forecasting (STLF) is a challenging task for an Energy Management System (EMS) that depends on highly unpredictable and volatile factors, making it difficult to predict the electricity load demand accurately. Despite the challenges, it is an essential component, as it helps to ensure energy demand-supply equilibrium, prevents blackouts, reduces the need for expensive peak power generation, and improves the efficiency and reliability of the EMS. Motivated by these factors, we have proposed a nov… Show more
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