Fakhreddine S. Oueslati

发表

Short-Term Electric Load Forecasting Based on Data-Driven Deep Learning Techniques

Haitham Abu-Rub, Shady S. Refaat, Mohamed Trabelsi, 2020, IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society.

A novel stacked generalization ensemble-based hybrid LGBM-XGB-MLP model for Short-Term Load Forecasting

Haitham Abu-Rub, Shady S. Refaat, Mohamed Massaoudi, 2021, Energy.

Enhanced Evolutionary Symbolic Regression Via Genetic Programming for PV Power Forecasting pdf

Shady S. Refaat, Lilia Sidhom, Ines Chihi, 2019, ArXiv.

A Novel Approach Based Deep RNN Using Hybrid NARX-LSTM Model For Solar Power Forecasting pdf

Shady S. Refaat, Lilia Sidhom, Ines Chihi, 2019, ArXiv.

Medium and Long-Term Parametric Temperature Forecasting using Real Meteorological Data

Lilia Sidhom, Mohamed Trabelsi, Ines Chihi, 2019, IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society.

PV Power Forecasting Using Weighted Features for Enhanced Ensemble Method pdf

Shady S. Refaat, Lilia Sidhom, Ines Chihi, 2019, ArXiv.

Performance Evaluation of Deep Recurrent Neural Networks Architectures: Application to PV Power Forecasting

Shady S. Refaat, Lilia Sidhom, Ines Chihi, 2019, 2019 2nd International Conference on Smart Grid and Renewable Energy (SGRE).

PLS-CNN-BiLSTM: An End-to-End Algorithm-Based Savitzky–Golay Smoothing and Evolution Strategy for Load Forecasting

Haitham Abu-Rub, Shady S. Refaat, Mohamed Massaoudi, 2020, Energies.

Enhanced Deep Belief Network Based on Ensemble Learning and Tree-Structured of Parzen Estimators: An Optimal Photovoltaic Power Forecasting Method

Haitham Abu-Rub, Shady S. Refaat, Ines Chihi, 2021, IEEE Access.

Deep Learning in Smart Grid Technology: A Review of Recent Advancements and Future Prospects

Haitham Abu-Rub, Shady S. Refaat, Ines Chihi, 2021, IEEE Access.

An Effective Hybrid NARX-LSTM Model for Point and Interval PV Power Forecasting

Haitham Abu-Rub, Shady S. Refaat, Lilia Sidhom, 2021, IEEE Access.

Convergence of Photovoltaic Power Forecasting and Deep Learning: State-of-Art Review

Haitham Abu-Rub, Shady S. Refaat, Ines Chihi, 2021, IEEE Access.

Enhanced Random Forest Model for Robust Short-Term Photovoltaic Power Forecasting Using Weather Measurements

Shady S. Refaat, Lilia Sidhom, Mohamed Trabelsi, 2021, Energies.