Implements a hybrid empirical mode decomposition, singular
spectrum analysis, and artificial neural network forecasting
framework for time series data. The framework extracts the trend
from the first intrinsic mode function using singular spectrum
analysis, forecasts the extracted trend and remaining
decomposition components using artificial neural networks, and
combines the component forecasts to obtain the final forecast.
For methodological details, refer to Kumar et al. (2026)