Deep learning methods for multi-horizon long-term forecasting of Harmful Algal Blooms

Silvia Martín-Suazo, Jesús Morón-López, Stanislav Vakaruk, Amit Karamchandani, Juan Antonio Pascual Aguilar, Alberto Mozo, Sandra Gómez Canaval, Meritxell Vinyals, Juan Manuel Ortiz

Abstract: Highlights•Pioneering evaluation of advanced DL techniques for HABs prediction using the As Conchas reservoir dataset.•Introduction of innovative multi-horizon forecasting methodology for HABs.•Unique assessment of forecasting techniques for HABs alert levels.•Analysis of model transferability between buoys for efficient deployment strategies.