Investigating the Impacts of Plug-in Hybrid Electric Vehicles on Power Distribution Systems. - Soroush Shafiee; Mahmud Fotuhi-Firuzabad; Mohammad Rastegar (IEEE Trans. Smart Grid, 2013)

Outage Management in Residential Demand Response Programs. - Mohammad Rastegar; Mahmud Fotuhi-Firuzabad (IEEE Trans. Smart Grid, 2015)

Incorporating Customer Reliability Cost in PEV Charge Scheduling Schemes Considering Vehicle-to-Home Capability. - Arman Alahyari; Mahmud Fotuhi-Firuzabad; Mohammad Rastegar (IEEE Trans. Veh. Technol., 2015)

A Probabilistic Energy Management Scheme for Renewable-Based Residential Energy Hubs. - Mohammad Rastegar; Mahmud Fotuhi-Firuzabad; Hamidreza Zareipour; Moein Moeini-Aghtaie (IEEE Trans. Smart Grid, 2017)

Developing a Two-Level Framework for Residential Energy Management. - Mohammad Rastegar; Mahmud Fotuhi-Firuzabad; Moein Moeini-Aghtaie (IEEE Trans. Smart Grid, 2018)

Probabilistic Optimal Dynamic Planning of Onsite Solar Generation for Residential Energy Hubs. - Soroush Senemar; Ali Reza Seifi; Mohammad Rastegar; Masood Parvania (IEEE Syst. J., 2020)

Deep-Based Conditional Probability Density Function Forecasting of Residential Loads. - Mousa Afrasiabi; Mohammad Mohammadi 001; Mohammad Rastegar; Lina Stankovic; Shahabodin Afrasiabi; Mohammad Khazaei (IEEE Trans. Smart Grid, 2020)

Probabilistic Load Flow Based on Parameterized Probability-Boxes for Systems With Insufficient Information. - Hafez Amiri; Mohammad Mohammadi 001; Mazaher Karimi; Mohammad Rastegar; Amir Rostami (IEEE Access, 2021)

An FBWM-TOPSIS Approach to Identify Critical Feeders for Reliability Centered Maintenance in Power Distribution Systems. - Sina Bahrami; Mohammad Rastegar; Payman Dehghanian (IEEE Syst. J., 2021)

Advanced Deep Learning Approach for Probabilistic Wind Speed Forecasting. - Mousa Afrasiabi; Mohammad Mohammadi 001; Mohammad Rastegar; Shahabodin Afrasiabi (IEEE Trans. Ind. Informatics, 2021)

Multiagent Reinforcement Learning for Energy Management in Residential Buildings. - Mehdi Ahrarinouri; Mohammad Rastegar; Ali Reza Seifi (IEEE Trans. Ind. Informatics, 2021)

Outage Cause Detection in Power Distribution Systems Based on Data Mining. - Mohammad Sadegh Bashkari; Ashkan Sami; Mohammad Rastegar (IEEE Trans. Ind. Informatics, 2021)

An Advanced Satisfaction-Based Home Energy Management System Using Deep Reinforcement Learning. - Ali Forootani; Mohammad Rastegar; Mohammad Jooshaki (IEEE Access, 2022)

Probabilistic optimization of preventive maintenance inspection rates by considering correlations among maintenance costs, duration, and states transition probabilities. - Farshid Nasrfard; Mohammad Mohammadi 001; Mohammad Rastegar (Comput. Ind. Eng., 2022)

Distributed Two-Level Energy Scheduling of Networked Regional Integrated Energy Systems. - Dariush Keihan Asl; Ali Reza Seifi; Mohammad Rastegar; Morteza Dabbaghjamanesh; Nikos D. Hatziargyriou (IEEE Syst. J., 2022)

Hierarchical Microenergy Hub Sizing and Placement in Integrated Electricity and Natural Gas Distribution Systems. - Seyed Abbas Seifossadat; Mohammad Rastegar; Mohammad Mohammadi 001; Soroush Senemmar; Jie Zhang 054 (IEEE Syst. J., 2022)

Real-Time Estimation Frameworks for Feeder-Level Load Disaggregation and PEVs' Charging Behavior Characteristics Extraction. - Mehrdad Ebrahimi; Mohammad Rastegar; Mohammad Mehdi Arefi (IEEE Trans. Ind. Informatics, 2022)

Stochastic Optimal Sizing of Plug-in Electric Vehicle Parking Lots in Reconfigurable Power Distribution Systems. - Meysam Mohammadi-Landi; Mohammad Rastegar; Mohammad Mohammadi 001; Shahabodin Afrasiabi (IEEE Trans. Intell. Transp. Syst., 2022)

Adaptive PLL-based Sensorless Control for CSI-Fed PMSM Drives Used in Submersible Pumps. - Milad Bahrami-Fard; Majid Ghasemi Korrani; Mohammad Rastegar; Poras T. Balsara; Babak Fahimi (IECON, 2024)

Power system flexibility analysis using net-load forecasting based on deep learning considering distributed energy sources and electric vehicles. - Ehsan Toghiany Rizi; Mohammad Rastegar; Ali Forootani (Comput. Electr. Eng., 2024)

Towards an interpretable data-driven switch placement model in electric power distribution systems: An explainable artificial intelligence-based approach. - Mehrdad Ebrahimi; Mohammad Rastegar (Eng. Appl. Artif. Intell., 2024)

Transfer Learning-Based Framework Enhanced by Deep Generative Model for Cold-Start Forecasting of Residential EV Charging Behavior. - Ali Forootani; Mohammad Rastegar; Hamidreza Zareipour (IEEE Trans. Intell. Veh., 2024)

Optimal planning of fault interrupter and load break switches in power distribution systems: A linear power flow-constrained multi-objective optimization. - Mehrdad Ebrahimi; Mohammad Rastegar (Reliab. Eng. Syst. Saf., 2025)