Titlebook: AI and IOT in Renewable Energy; Rabindra Nath Shaw,Nishad Mendis,Ankush Ghosh Book 2021 The Editor(s) (if applicable) and The Author(s), u

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初學(xué)者

Rabindra Nath Shaw,Nishad Mendis,Ankush GhoshDiscusses various applications of AI and IOT in the sustainable energy systems.Includes unpublished works from researchers working in the field.Serves as a reference for industry people to get an idea

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https://doi.org/10.1007/978-981-16-1011-0AI in Renewable Energy; Future Application of AI in Renewable Energy; IOT in Renewable Energy; Future A

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978-981-16-1013-4The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor

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Regression: Choosing and Managing Modelsn of PV output power for 3 solar systems. The three PV systems are polycrystalline, monocrystalline and thin-film systems. A deep learning technique (RNN-LSTM) is proposed for day-ahead prediction of solar power output. The regression [GPR, GPR(PCA) and machine learning [SVR, SVR(PCA)] techniques ar

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E. Bhaveeasheshwar,Gerard Deepakuch as solar PV and wind power have gained attractive investments in many countries, resulting in rapid growth in the installed capacity of these green sources of energy. The contribution of these variable renewable electricity energy sources had produced around 8.7% of global electricity as compare

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municipality

Traumatic-Grief

Applied Machine Learning for Assisted Livingtabilized grid network by using Probabilistic Optimal Power Flow (P-OPF) in MATPOWER environment. The competitive market led to the assessment of the nodal price values for bidding the next MW charges. Consequently, the precise estimation and analysis of LMP values become a challenging task in the p