Adding a pinball-MAPE plus normalized MSE loss and a destandardization component to N-BEATS improves monthly electricity load forecasting, with reported MAPE of 3.44% versus 3.78% for N-BEATS.
Potential of three variant machine-learning models for forecasting district level medium-term and long-term energy demand in smart grid environment
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Enhanced N-BEATS for Mid-Term Electricity Demand Forecasting
Adding a pinball-MAPE plus normalized MSE loss and a destandardization component to N-BEATS improves monthly electricity load forecasting, with reported MAPE of 3.44% versus 3.78% for N-BEATS.