Results 251 to 260 of about 5,303,939 (309)

Data‐Driven SuStaIn Model of Disability Progression in Amyotrophic Lateral Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To determine whether ordinal Subtype and Stage Inference (SuStaIn) applied to routine ALSFRS‐R item scores can identify reproducible disability progression patterns in amyotrophic lateral sclerosis (ALS) and provide clinically meaningful staging.
Giammarco Milella, Veria Vacchiano, Vittorio Velucci, Stefano Zoccolella, Rocco Liguori, Giovanni Defazio   +5 more
wiley   +1 more source

Adaptive Differentiated Parrot Optimization: A Multi-Strategy Enhanced Algorithm for Global Optimization with Wind Power Forecasting Applications. [PDF]

Biomimetics (Basel)
Lin G, Abdel-Salam M, Hu G, Jia H.
europepmc   +1 more source

Short time solar power forecasting using P-ELM approach. [PDF]

Sci Rep
Shi S, Liu B, Ren L, Liu Y.
europepmc   +1 more source

A PatchTST-GRU based heterogeneous seq2seq model with numerical weather prediction refinement for multi-step wind power forecasting. [PDF]

Sci Rep
Xu S, Wang Y, Xu X, Shi G, Huang H, Zheng Y.   +5 more
europepmc   +1 more source

Enhanced Wind Power Forecasting Using a Hybrid Multi-Strategy Coati Optimization Algorithm and Backpropagation Neural Network. [PDF]

Sensors (Basel)
Yang H, Shu Z, Li Z.
europepmc   +1 more source

Enhancing wind power forecasting accuracy through LSTM with adaptive wind speed calibration (C-LSTM). [PDF]

Sci Rep
Wang D, Xu M, Guangming Z, Luo F, Gao J, Chen Y.   +5 more
europepmc   +1 more source

A High-Precision Short-Term Photovoltaic Power Forecasting Model Based on Multivariate Variational Mode Decomposition and Gated Recurrent Unit-Attention with Crested Porcupine Optimizer-Enhanced Vector Weighted Average Algorithm. [PDF]

Sensors (Basel)
Pian J, Chen X.
europepmc   +1 more source

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Building power demand forecasting

it - Information Technology, 2016
Abstract Buildings acting as flexible loads have been often proposed to mitigate the volatility of renewable energy sources. Thereby, an accurate short-term demand forecast is indispensable for effective demand side management. At the same time, standardized load profiles, commonly used in the distribution grid, are inadequate for load ...
Valgaev, Oleg, Kupzog, Friederich
openaire   +3 more sources

A Fast and Stable Forecasting Model to Forecast Power Load

International Journal of Pattern Recognition and Artificial Intelligence, 2015
As the traditional gray forecasting model GM(1, 1) has poor performance in forecasting the fast-growing power load, we present a chaotic co-evolutionary particle swarm optimization (CCPSO) algorithm, one with better efficiency than the PSO algorithm. Based on the GM(1, 1) model, the CCPSO algorithm is adopted to solve the values of parameters a and b ...
Li-Zhi Tan, Aijia Ouyang, Xuyu Peng, Er-Xi Li, Tung Khac Truong, Libo Hao   +5 more
openaire   +1 more source

Machine Learning for Wind Power Forecasting

2021 International Joint Conference on Neural Networks (IJCNN), 2021
In recent years, Brazil has been increasing research and consequently the use of another type of energy generation, wind power, which is currently the second largest source of energy generation in the country. This work aims to develop wind speed forecasting models, using artificial intelligence techniques, including Deep Artificial Neural Networks ...
Yann Fabricio Cardoso de Figueiredo, Lídio Mauro Lima de Campos   +1 more
openaire   +2 more sources