Short-term Wind Speed Forecasting based on LSSVM Optimized by Elitist QPSO

• Published in: arXiv.org
• Main Authors: Ephrem Admasu Yekun, Alem Haddush Fitwi, Selvi, S Karpaga, Kumar, Anubhav
• Format: Paper
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 15.10.2020
• Subjects: Algorithms; Alternative energy sources; Economic forecasting; Electricity consumption; Energy consumption; Machine learning; Mathematical models; Optimization; Parameter modification; Regularization; Wind power; Wind speed

Nowadays, wind power is considered as one of the most widely used renewable energy applications due to its efficient energy use and low pollution. In order to maintain high integration of wind power into the electricity market, efficient models for wind speed forecasting are in high demand. The non-...