Optimized Machine Learning-Based Forecasting Model for Solar Power Generation by Using Crow Search Algorithm and Seagull Optimization Algorithm
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
https://link.springer.com/content/pdf/10.1007/s13369-023-07822-9.pdf
Reference43 articles.
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2. Strzalka, A.; Alam, N.; Duminil, E.; Coors, V.; Eicker, U.: Large scale integration of photovoltaics in cities. Appl. Energy 93, 413–421 (2012). https://doi.org/10.1016/j.apenergy.2011.12.033
3. Woyte, A., et al.: “Voltage fluctuations on distribution level introduced by photovoltaic systems. IEEE J. Mag. 21(1), 202–209 (2017)
4. Sahu, R.K.; Shaw, B.; Nayak, J.R.; Shashikant,: Short/medium term solar power forecasting of Chhattisgarh state of India using modified TLBO optimized ELM. Eng. Sci. Technol. an Int. J. 24(5), 1180–1200 (2021). https://doi.org/10.1016/j.jestch.2021.02.016
5. Ji, W.; Chee, K.C.: Prediction of hourly solar radiation using a novel hybrid model of ARMA and TDNN. Sol. Energy 85(5), 808–817 (2011). https://doi.org/10.1016/j.solener.2011.01.013
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