Mohsen Rakhshan
Electrical and Electronic Engineering · 2018
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 5 citations into it
- Renewable Energy, Sustainability and the Environment — 5 citations into it
Whom Mohsen Rakhshan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Chian-Song Chiu
- Azadeh Safari
- Mummadi Veerachary
- Vicente Salas
- Saad Mekhilef
- Tomonobu Senjyu
- Emilio Olías
- Nasrudin Abdul Rahim
Papers from Mohsen Rakhshan's perspective
Ordered by how strongly the researchers Mohsen Rakhshan trusts endorse each paper. Same corpus, a different order for every researcher.
- Neural-network-based maximum-power-point tracking of coupled-inductor interleaved-boost-converter-supplied PV system using fuzzy controller (IEEE transactions on industrial electronics (1982. Print))
- Review of the maximum power point tracking algorithms for stand-alone photovoltaic systems
- T-S Fuzzy Maximum Power Point Tracking Control of Solar Power Generation Systems (IEEE transactions on energy conversion)
- Simulation and Hardware Implementation of Incremental Conductance MPPT With Direct Control Method Using Cuk Converter (IEEE transactions on industrial electronics (1982. Print))
- Fuzzy logic controller based SEPIC converter of maximum power point tracking (Annual Meeting of the IEEE Industry Applications Society)
- Comparative study of maximum power point tracking algorithms
- A Method for MPPT Control While Searching for Parameters Corresponding to Weather Conditions for PV Generation Systems (IEEE transactions on industrial electronics (1982. Print))
- Optimized Maximum Power Point Tracker for Fast-Changing Environmental Conditions (IEEE transactions on industrial electronics (1982. Print))
- Modeling and Control of PV Charger System With SEPIC Converter (IEEE transactions on industrial electronics (1982. Print))
- Performance Evaluation of Parabolic Prediction to Maximum Power Point Tracking for PV Array (IEEE Transactions on Sustainable Energy)