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Hybrid optimisation and machine learning models for wind and solar data prediction.

, , , and . Int. J. Hybrid Intell. Syst., 19 (1): 45-60 (2023)

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Hybrid optimisation and machine learning models for wind and solar data prediction., , , and . Int. J. Hybrid Intell. Syst., 19 (1): 45-60 (2023)Multi-objective Optimal Sizing of an AC/DC Grid Connected Microgrid System., , , , , and . OL2A (2), volume 1982 of Communications in Computer and Information Science, page 326-342. Springer, (2023)Combined Optimization and Regression Machine Learning for Solar Irradiation and Wind Speed Forecasting., , , and . OL2A, volume 1754 of Communications in Computer and Information Science, page 215-228. Springer, (2022)Application of Koniocortex-Like Networks to Cardiac Arrhythmias Classification., , , and . IWINAC (2), volume 11487 of Lecture Notes in Computer Science, page 264-273. Springer, (2019)Artificial Metaplasticity: Application to MIT-BIH Arrhythmias Database., , , and . IWINAC (1), volume 9107 of Lecture Notes in Computer Science, page 133-142. Springer, (2015)Tackling business intelligence with bioinspired deep learning., , , and . Neural Comput. Appl., 32 (17): 13195-13202 (2020)On the Design and Implementation of a Neuromorphic Self-Tuning Controller., , , , and . Neural Process. Lett., 9 (3): 229-242 (1999)Signing in Four Public Software Package Registries: Quantity, Quality, and Influencing Factors., , , , , , , and . CoRR, (2024)An efficient hybrid metaheuristics optimization technique applied to the AC electric transmission network expansion planning., , and . Swarm Evol. Comput., (2021)Towards verifiable web-based code review systems., , , and . J. Comput. Secur., 31 (2): 153-184 (2023)