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Forecasting Photosynthetic Photon Flux Density Under Cloud Effects: Novel Predictive Model Using Convolutional Neural Network Integrated With Long Short … |
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2021 |
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Short-term electricity demand forecasting with MARS, SVR and ARIMA models using aggregated demand data in Queensland, Australia |
Advanced Engineering … |
2018 |
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Two-phase particle swarm optimized-support vector regression hybrid model integrated with improved empirical mode decomposition with adaptive noise for multiple … |
Applied energy |
2018 |
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Particle swarm optimized–support vector regression hybrid model for daily horizon electricity demand forecasting using climate dataset |
E3S Web of Conferences, vol. 64 |
2018 |
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Particle swarm optimized–support vector regression hybrid model for daily horizon electricity demand forecasting using climate dataset |
E3S Web of … |
2018 |
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Stacked LSTM sequence-to-sequence autoencoder with feature selection for daily solar radiation prediction: A review and new modeling results |
Energies |
2022 |
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Electrical energy demand forecasting model development and evaluation with maximum overlap discrete wavelet transform-online sequential extreme learning … |
Energies |
2020 |
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Clustering similar time series data for the prediction the patients with heart disease |
Indonesian Journal of … |
2022 |
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Gas consumption demand forecasting with empirical wavelet transform based machine learning model: A case study |
International Journal of … |
2021 |
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Short-term electricity demand forecasting using machine learning methods enriched with ground-based climate and ECMWF Reanalysis atmospheric predictors in … |
Renewable and Sustainable … |
2019 |
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Forecasting solar photosynthetic photon flux density under cloud cover effects: novel predictive model using convolutional neural network integrated with long … |
… Research and Risk … |
2022 |
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