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An improved temporal convolutional network with attention mechanism for photovoltaic generation forecasting
Z Zhang, J Wang, D Wei, Y **a - Engineering Applications of Artificial …, 2023 - Elsevier
Forecasting renewable energy generation is challenging due to non-stationary and intricate
stochastic properties, with a significant impact on grid operation. Although various methods …
stochastic properties, with a significant impact on grid operation. Although various methods …
[HTML][HTML] Validity evaluation of a machine-learning model for chlorophyll a retrieval using Sentinel-2 from inland and coastal waters
Abstract The MultiSpectral Instrument (MSI) on-board Sentinel-2 provides satellite images at
spatiotemporal resolutions suitable for chlorophyll a (Chla) retrieval from inland and coastal …
spatiotemporal resolutions suitable for chlorophyll a (Chla) retrieval from inland and coastal …
Stock price time series data forecasting using the light gradient boosting machine (LightGBM) model
In the world of stock investment, one of the things that commonly happens is stock price
fluctuations or the ups and downs of stock prices. As a result of these fluctuations, many …
fluctuations or the ups and downs of stock prices. As a result of these fluctuations, many …
Hyperparameter tuning algorithm comparison with machine learning algorithms
F Arden, C Safitri - 2022 6th International Conference on …, 2022 - ieeexplore.ieee.org
Hyperparameters are the foundation for optimizing the way machine learning algorithms
supposed to learn. It is essential to have the optimal hyperparameter values for any learning …
supposed to learn. It is essential to have the optimal hyperparameter values for any learning …
Identification of significant risk factors and impact for ASD prediction among children using machine learning approach
Autism Spectrum Disorder (ASD) is a set of neurological impairments which are incurable
but can be improved with early treatment. We obtained slightly earlier detected ASD …
but can be improved with early treatment. We obtained slightly earlier detected ASD …
[HTML][HTML] Machine Learning-Based Automatic Utterance Collection Model for Language Development Screening of Children
To assess a child's language development, utterance data are required. The approach of
recording and transcribing the conversation between the expert and the child is mostly …
recording and transcribing the conversation between the expert and the child is mostly …