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Applied Science & Technology Full Text (H.W. Wilson)

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Applied Science & Technology Full Text (H.W. Wilson)

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A novel approach for CPU load prediction of cloud server combining denoising and error correction.

• Authors : You, Deguang (AUTHOR); Lin, Weiwei (AUTHOR); Shi, Fang (AUTHOR)

Subjects: LOAD forecasting (Electric power systems); CLIENT/SERVER computing equipment; CURVE fitting

• Source: Computing. Mar2023, Vol. 105 Issue 3, p577-594. 18p.

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Load2Load: Day-ahead load forecasting at aggregated level.

• Authors : YILMAZ, Mustafa Berkay

Subjects: DEEP learning; LOAD forecasting (Electric power systems); FEATURE selection

• Source: Turkish Journal of Electrical Engineering & Computer Sciences. 2022, Vol. 30 Issue 7, p2636-2653. 18p.

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Intelligence based Accurate Medium and Long Term Load Forecasting System.

• Authors : Butt, Faisal Mehmood; Hussain, Lal; Mujtaba Jafri, Syed Hassan

Subjects: MULTILAYER perceptrons; LOAD forecasting (Electric power systems); FORECASTING

• Source: Applied Artificial Intelligence. 2022, Vol. 36 Issue 1, p1-25. 25p.

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Levy flight-particle swarm optimization-assisted BiLSTM + dropout deep learning model for short-term load forecasting.

• Authors : Kiruthiga, D. (AUTHOR); Manikandan, V. (AUTHOR)

Subjects: LOAD forecasting (Electric power systems); DEEP learning; FORECASTING

• Source: Neural Computing & Applications. Jan2023, Vol. 35 Issue 3, p2679-2700. 22p.

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A novel transfer learning-based short-term solar forecasting approach for India.

• Authors : Goswami, Saptarsi (AUTHOR); Malakar, Sourav (AUTHOR); Ganguli, Bhaswati (AUTHOR)

Subjects: LOAD forecasting (Electric power systems); FORECASTING; SOLAR energyINDIA

• Source: Neural Computing & Applications. Oct2022, Vol. 34 Issue 19, p16829-16843. 15p.

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Fitting multiple temporal usage patterns in day-ahead hourly building load forecasting under patch learning framework.

• Authors : Dan, Zhaohui (AUTHOR); Wang, Bo (AUTHOR); Zhang, Qian (AUTHOR)

Subjects: LOAD forecasting (Electric power systems); FORECASTING; MEASUREMENT errors

• Source: Neural Computing & Applications. Oct2022, Vol. 34 Issue 19, p16291-16309. 19p.

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Short-term forecasting of the Italian load demand during the Easter Week.

• Authors : Incremona, Alessandro (AUTHOR); De Nicolao, Giuseppe (AUTHOR)

Subjects: LOAD forecasting (Electric power systems); EASTER; INDEPENDENT system operators

• Source: Neural Computing & Applications. 4/15/2022, Vol. 34 Issue 8, p6257-6271. 15p.

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An adaptive backpropagation algorithm for long-term electricity load forecasting.

• Authors : Mohammed, Nooriya A. (AUTHOR); Al-Bazi, Ammar (AUTHOR)

Subjects: LOAD forecasting (Electric power systems); MEAN square algorithms; RECURRENT neural networks

• Source: Neural Computing & Applications. Jan2022, Vol. 34 Issue 1, p477-491. 15p.

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