RT info:eu-repo/semantics/article
T1 Forecasting of wave energy in Canary Islands based on Artificial Intelligence
A1 Marichal Plasencia, Graciliano Nicolás
A1 Avila, Deivis
A1 Padrón,  Isidro
A1 Quiza, Ramón
A1 Hernández, Ángela
K1 Wave energy
K1 Computing intelligent systems
K1 Artificial neural network and Fuzzy inference
system
AB In this work two mathematical models based on soft computing techniques for the forecasting of the wave energyin the Macaronesian region are exposed. The intelligent systems proposed for the wave energy prediction areFuzzy Inference Systems (FIS) and Artificial Neural Networks (ANN). The models were implemented and validated thanks to the dataset of deep waters buoys belonging to Spain's State Ports, in several places near theCanary Islands. The buoys dataset covered a total period of 18 years. Once this research finished, it was possibleto conclude that there is an excellent correspondence between annual wave energy predicted by ANN- and FISbased models with respect to both buoys. These models constitute an effective tool to compute the wave powerquickly and accurately at any point in oceanic deep waters, which allows for an optimal use of the dataset fromthe buoys even with only a few months of measurements.
SN 0141-1187
YR 2020
FD 2020
LK http://riull.ull.es/xmlui/handle/915/35994
UL http://riull.ull.es/xmlui/handle/915/35994
LA en
DS Repositorio institucional de la Universidad de La Laguna
RD 28-may-2024