Artificial Intelligence | Data Science | Forecasting A TCN-Linear Hybrid Model for Chaotic Time Series Forecasting. June 26, 2024
Deep Learning | Forecasting | Time Series Analysis Developing a multivariate time series forecasting framework based on stacked autoencoders and multi-phase feature. May 1, 2024
Data Analysis | Forecasting The multi-strategy hybrid forecasting base on SSA-VMD-WST for complex system. April 18, 2024
Building Energy Management Systems | Energy Consumption | Forecasting Deep learning-based forecasting of electricity consumption. March 19, 2024
Data Science | Forecasting | Power Grid Systems Fuzzy Clustering-Based Deep Learning for Short-Term Load Forecasting in Power Grid Systems Using Time-Varying and Time-Invariant Features. March 13, 2024
Economic Growth | Energy Management | Forecasting | Policy Making Addressing energy challenges in Iraq: Forecasting power supply and demand using artificial intelligence models. February 20, 2024
Deep Learning | Economics | Forecasting Forecasting China carbon price using an error-corrected secondary decomposition hybrid model integrated fuzzy dispersion entropy and deep learning paradigm. February 6, 2024
Deep Learning | Forecasting A novel extreme adaptive GRU for multivariate time series forecasting. February 5, 2024
Energy Systems | Forecasting | Machine Learning Long Short-Term Memory-Based Twin Support Vector Regression for Probabilistic Load Forecasting. November 29, 2023
Cardiology | Climate science | Forecasting Forecasting the Acute Heart Failure Admissions: Development of Deep Learning Prediction Model Incorporating the Climate Information. November 12, 2023
Forecasting | Machine Learning | Renewable Energy Short-term solar energy forecasting: Integrated computational intelligence of LSTMs and GRU. October 4, 2023
Deep Learning | Forecasting An adaptive embedding procedure for time series forecasting with deep neural networks. September 20, 2023