Get started
Author

Dalil Hadjout

Deep Learning for Time Series Forecasting: A Survey
2020 · José F. Torres, Dalil Hadjout, et al. · Big Data · 913
Electricity consumption forecasting based on ensemble deep learning with application to the Algerian market
2021 · D. Hadjout, J.F. Torres, et al. · Energy · 96
PDF
Electricity consumption forecasting with outliers handling based on clustering and deep learning with application to the Algerian market
2023 · Dalil Hadjout, Abderrazak Sebaa, et al. · Expert Systems with Applications · 40
Medium-Term Electricity Consumption Forecasting in Algeria Based on Clustering, Deep Learning and Bayesian Optimization Methods
2021 · D. Hadjout, J. F. Torres, et al. · Advances in intelligent systems and computing · 3
Fraud Detection of Electricity Consumption Using Robust Exponential and Holt-Winters Smoothing Method
2023 · Dalila Azzouguer, Abderrazak Sebaa, et al. · IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET) · 2
Temporal Convolutional Network-Based Time-Series Forecasting for Cluster Head Prediction in Energy-Constrained WSN-Based IoT
2026 · Dalil Hadjout, Foudil Mir, et al. · IEEE Sensors Journal · 1
Natural Gas Consumption Forecasting Based on Weighted Ensemble Learning
2025 · Samiha Ait Taleb, Abderrazak Sebaa, et al. · Communications in computer and information science · 1
A Data Communication Based on Deep Learning Model for Efficient IoT Energy Clustering
2024 · Foudil Mir, Dalil Hadjout, et al. · International Conference on Innovative and Intelligent Information Technologies (IC3IT) · 1
Fraud Detection of the Electricity Consumption by combining Deep Learning and Statistical Methods
2024 · Laboratoire LITAN, École supérieure en Sciences et Technologies de l’Informatique et du Numérique, RN 75, Amizour 06300, Bejaia, Algérie, Dalila AZZOUGUER, et al. · Electrotehnica Electronica Automatica · 1
New predictive models based on ensemble and deep learning applied to the electric market
2024 · Hadjout, Dalil · RIO (Universidad Pablo de Olavide)
PDF
Works count: 10
Citation count: 1,058
H-index: 3
I10-index: 3
Year
Topic
Type