Carbon Trading Market | Data Science | Economics | Forecasting An optimized decomposition integration framework for carbon price prediction based on multi-factor two-stage feature dimension reduction. July 25, 2022
Energy Economics | Financial Economics | Forecasting Point and interval prediction of crude oil futures prices based on chaos theory and multiobjective slime mold algorithm. June 27, 2022
Forecasting | Neural Networks Research on Impulse Power Load Forecasting Based on Improved Recurrent Neural Networks. May 3, 2022
Econometrics | Forecasting Application of empirical mode decomposition to improve deep learning for US GDP data forecasting. February 11, 2022
Forecasting | Healthcare Management | Telemedicine Forecasting Teleconsultation Demand Using an Ensemble CNN Attention-Based BILSTM Model with Additional Variables. August 27, 2021
Climate science | Forecasting | Hydrology Application of a hybrid ARIMA-LSTM model based on the SPEI for drought forecasting. August 17, 2021
Data Mining | Forecasting | Time Series Analysis Smoothing and stationarity enforcement framework for deep learning time-series forecasting. May 10, 2021
Economics | Forecasting | Tourism The good, the bad and the ugly on COVID-19 tourism recovery. February 1, 2021
Data Science | Electric Engineering | Forecasting A Hybrid Residual Dilated LSTM and Exponential Smoothing Model for Midterm Electric Load Forecasting. January 8, 2021
Data Science | Electric Vehicle Technology | Forecasting Deep-Learning-Based Probabilistic Forecasting of Electric Vehicle Charging Load With a Novel Queuing Model. April 5, 2020