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References from A change-intensity-aware forecasting framework for ultra-short-term wind power prediction. Local targets link to admitted publications; unresolved targets remain external evidence.
Ultra-short-term wind power prediction method combining financial technology feature engineering and XGBoost algorithm
10.1016/j.heliyon.2023.e16938 · 2023 · External reference
LightGBM: a highly efficient gradient boosting decision tree
2017 · External reference
CatBoost: unbiased boosting with categorical features
2018 · External reference
Ultra-short-term wind power forecasting based on deep bayesian model with uncertainty
10.1016/j.renene.2023.01.038 · 2023 · External reference
Short-term wind power forecasting model based on temporal convolutional network and Informer
10.1016/j.energy.2023.129171 · 2023 · External reference
Interpretable feature-temporal transformer for short-term wind power forecasting with multivariate time series
10.1016/j.apenergy.2024.124035 · 2024 · External reference
Enhanced N-BEATS for mid-term electricity demand forecasting
10.1016/j.asoc.2025.113575 · 2025 · External reference
Improved EMD-based complex prediction model for wind power forecasting
10.1109/tste.2020.2976038 · 2020 · External reference
Ultra-short-term wind power prediction based on hybrid denoising with improved CEEMD decomposition
10.1016/j.renene.2025.123352 · 2025 · External reference
Dual-path feature extraction with MoE optimization for ultra-short-term wind power forecasting
10.1016/j.egyai.2026.100684 · 2026 · External reference
Online distributed learning in wind power forecasting
10.1016/j.ijforecast.2020.04.004 · 2021 · External reference
Autoformer: decomposition transformers with auto-correlation for long-term series forecasting
2021 · External reference
Non-stationary transformers: exploring stationarity in time series forecasting
2022 · External reference
Efficient wind power prediction via hybrid preprocessing and enhanced reformer
10.1016/j.ijepes.2026.111694 · 2026 · External reference
Household energy consumption forecasting based on adaptive signal decomposition enhanced iTransformer network
10.1016/j.enbuild.2024.114894 · 2024 · External reference
A transformer-LSTM network enhanced by EEMD for ultra-short-term wind power forecasting
10.1016/j.egyai.2026.100682 · 2026 · External reference
Systematic evaluation of transformer-based time series forecasting models for post-processing WRF-simulated wind speed and predicting short-term power output
10.1016/j.apenergy.2025.127070 · 2026 · External reference
Priori-guided and data-driven hybrid model for wind power forecasting
10.1016/j.isatra.2022.07.028 · 2023 · External reference
A complete ensemble empirical mode decomposition with adaptive noise
2011 · External reference
Wind power forecasting based on hybrid CEEMDAN-EWT deep learning method
10.1016/j.renene.2023.119357 · 2023 · External reference
Offshore wind power forecasting based on WPD and optimised deep learning methods
10.1016/j.renene.2023.119241 · 2023 · External reference
Accelerated structured alternating projections for robust spectrally sparse signal recovery
10.1109/tsp.2021.3049618 · 2021 · External reference
Periodic-enhanced informer model for short-term wind power forecasting using SCADA data
10.1109/tste.2025.3558726 · 2025 · External reference
Wavelet-Seq2Seq-LSTM with attention for time series forecasting of level of dams in hydroelectric power plants
10.1016/j.energy.2023.127350 · 2023 · External reference
An innovative short-term multihorizon photovoltaic power output forecasting method based on variational mode decomposition and a capsule convolutional neural network
10.1016/j.apenergy.2023.121139 · 2023 · External reference
A trend-based method for the prediction of offshore wind power ramp
10.1016/j.renene.2023.03.131 · 2023 · External reference
Algorithm for identifying wind power ramp events via novel improved dynamic swinging door
10.1016/j.renene.2021.02.123 · 2021 · External reference
A wind power ramp prediction method based on value-at-risk
10.1016/j.enconman.2024.118767 · 2024 · External reference
Wind power ramp event forecasting using a stochastic scenario generation method
10.1109/tste.2014.2386870 · 2015 · External reference
Prediction of wind power ramp events based on residual correction
10.1016/j.renene.2019.01.049 · 2019 · External reference
A novel transformer ordinal regression network with label diversity for wind power ramp events forecasting
10.1016/j.energy.2023.128075 · 2023 · External reference
Alerting to rare large-scale ramp events in wind power generation
10.1109/tste.2018.2822807 · 2019 · External reference
A critical review of modeling hydrogen production using water electrolyzer
10.1515/revce-2025-0049 · 2026 · External reference
Attention is all you need
2017 · External reference
Solar and wind power data from the Chinese state grid renewable energy generation forecasting competition
10.1038/s41597-022-01696-6 · 2022 · External reference