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Novel Multi-Time Scale Deep Learning Algorithm for Solar Irradiance Forecasting

• Authors : N. Yogambal Jayalakshmi; R. Shankar; Umashankar Subramaniam

Subjects: solar irradiance forecasting; multi-task learning; multi-time scale prediction

• Source: Energies, Vol 14, Iss 9, p 2404 (2021)

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Multi-temporal Scale Wind Power Forecasting Based on Lasso-CNN-LSTM-LightGBM

• Authors : Qingzhong Gao

Subjects: wind power prediction; ICEEMDAN; CNN network

• Source: EAI Endorsed Transactions on Energy Web, Vol 11 (2024)

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Novel Multi-Time Scale Deep Learning Algorithm for Solar Irradiance Forecasting.

• Authors : Jayalakshmi, N. Yogambal¹ (AUTHOR) ; Shankar, R.² (AUTHOR) ; Subramaniam, Umashankar³ (AUTHOR)

• Source: Energies (19961073). May2021, Vol. 14 Issue 9, p2404-2404. 1p.

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Multi-timescale optimal control strategy for energy storage using LSTM prediction–correction in the active distribution network

• Authors : Junjian Wu; Yiwei Chen; Jinhui Zhou

Subjects: peak shaving; energy storage; LSTM

• Source: Frontiers in Energy Research, Vol 11 (2023)

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Toward Smart Lockdown: A Novel Approach for COVID-19 Hotspots Prediction Using a Deep Hybrid Neural Network

• Authors : Sultan Daud Khan; Louai Alarabi; Saleh Basalamah

Subjects: COVID-19; lockdown; hotspots

• Source: Computers; Volume 9; Issue 4; Pages: 99

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Multi-task prediction model based on ConvLSTM and encoder-decoder.

• Authors : Luo, Tao¹ (AUTHOR); Cao, Xudong¹ (AUTHOR) ; Li, Jin¹ (AUTHOR)

• Source: Intelligent Data Analysis. 2021, Vol. 25 Issue 2, p359-382. 24p.

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A Single Long Short-Term Memory Network can Predict Rainfall-Runoff at Multiple Timescales

• Authors : Mani Manavalan; Naresh Babu Bynagari

Subjects: LSTM; Memory Network; Rainfall-Runoff

• Source: International Journal of Reciprocal Symmetry and Physical Sciences 2(1) 1–7

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