المؤلفون: Ghadah Alkhayat, Syed Hamid Hasan, Rashid Mehmood

المصدر: Energies, Vol 15, Iss 18, p 6659 (2022)

مصطلحات موضوعية: solar energy forecasting, generalizability, long short-term memory (LSTM), gated recurrent unit (GRU), convolutional neural network (CNN), hybrid CNN-bidirectional LSTM, Technology

وصف الملف: electronic resource

Relation: https://www.mdpi.com/1996-1073/15/18/6659; https://doaj.org/toc/1996-1073

URL الوصول: https://doaj.org/article/8812f84e14d642ca8717255f344e6f38

المؤلفون: Ghadah Alkhayat, Rashid Mehmood

المصدر: Energy and AI, Vol 4, Iss , Pp 100060- (2021)

مصطلحات موضوعية: Deep learning, Renewable energy forecasting, Solar energy, Wind energy, Taxonomy, Hybrid methods, Electrical engineering. Electronics. Nuclear engineering, TK1-9971, Computer software, QA76.75-76.765

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2666546821000148; https://doaj.org/toc/2666-5468

URL الوصول: https://doaj.org/article/0e2cff924c0f40689d929850a0ecd5f3

المؤلفون: Ghadah Alkhayat, Syed Hamid Hasan, Rashid Mehmood

المصدر: Sustainability, Vol 15, Iss 24, p 16759 (2023)

مصطلحات موضوعية: wind speed forecasting, deep learning, wind energy, LSTM, VMD, Environmental effects of industries and plants, TD194-195, Renewable energy sources, TJ807-830, Environmental sciences, GE1-350

Relation: https://www.mdpi.com/2071-1050/15/24/16759; https://doaj.org/toc/2071-1050; https://doaj.org/article/80757c65f77d4f998e178316d1b7d15c

الاتاحة: https://doi.org/10.3390/su152416759
https://doaj.org/article/80757c65f77d4f998e178316d1b7d15c