N. Rajasekar
Electrical and Electronic Engineering · 2017–2019
A researcher in the Science corpus: 3 papers; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 27 citations into it
- Renewable Energy, Sustainability and the Environment — 23 citations into it
- Artificial Intelligence — 9 citations into it
- Control and Systems Engineering — 6 citations into it
Whom N. Rajasekar trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kinattingal Sundareswaran
- Xin-She Yang
- Kashif Ishaque
- Azadeh Safari
- Tat Luat Nguyen
- Sankar Peddapati
- Guan-Chyun Hsieh
- Nicola Femia
- Saad Mekhilef
- Sankaran Palani
Papers from N. Rajasekar's perspective
Ordered by how strongly the researchers N. Rajasekar trusts endorse each paper. Same corpus, a different order for every researcher.
- A Deterministic Particle Swarm Optimization Maximum Power Point Tracker for Photovoltaic System Under Partial Shading Condition (IEEE transactions on industrial electronics (1982. Print))
- Maximum Power Point Tracking of Multiple Photovoltaic Arrays: A PSO Approach (IEEE Transactions on Aerospace and Electronic Systems)
- Simulation and Hardware Implementation of Incremental Conductance MPPT With Direct Control Method Using Cuk Converter (IEEE transactions on industrial electronics (1982. Print))
- A Technique for Improving P&O MPPT Performances of Double-Stage Grid-Connected Photovoltaic Systems (IEEE transactions on industrial electronics (1982. Print))
- Multi-Objective Flower Algorithm for Optimization (International Conference on Conceptual Structures)
- Simulation and Hardware Implementation of New Maximum Power Point Tracking Technique for Partially Shaded PV System Using Hybrid DEPSO Method (IEEE Transactions on Sustainable Energy)
- Enhanced Energy Output From a PV System Under Partial Shaded Conditions Through Artificial Bee Colony (IEEE Transactions on Sustainable Energy)
- MPPT of PV Systems Under Partial Shaded Conditions Through a Colony of Flashing Fireflies (IEEE transactions on energy conversion)
- Photovoltaic Power-Increment-Aided Incremental-Conductance MPPT With Two-Phased Tracking (IEEE transactions on power electronics)
- A novel MPPT (maximum power point tracking) algorithm based on a modified genetic algorithm specialized on tracking the global maximum power point in photovoltaic systems affected by partial shading
Their papers
- Application of flower pollination algorithm for enhanced proton exchange membrane fuel cell modelling (2019) — 112 citations
- A comprehensive review on protection challenges and fault diagnosis in PV systems (2018) — 366 citations
- A Novel Flower Pollination Based Global Maximum Power Point Method for Solar Maximum Power Point Tracking (2017) — 218 citations