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November 2017 – Seyyed Ali Pourmousavi Kani
Seyyed Ali Pourmousavi Kani
Seyyed Ali Pourmousavi Kani
Ph.D. Electrical Engineering | Member, IEEE (S'07, M'15) | Secretary, IEEE Joint Chapter of PE/IE/IA Societies | MIEAust, The Institution of Engineers Australia | Electric Energy Society of Australia (EESA), Engineers Australia (EA)
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November 2017

There were 3 posts published in November 2017 (this is page 1 of 1).

A Comprehensive and Free Optimization Toolbox in MATLAB

Optimisation problems are everywhere regardless of your field of research. All researchers at some point struggled to solve an optimisation problem. For a long time, MATLAB had a relatively comprehensive toolbox where several optimisation solvers have been provided. Well, it does not have all the solvers we need. I recently found OPTI Toolbox which gathered […]

in Learning, Tools | November 30, 2017 | Comment

PAPER: The Impact of Temperature On Battery Degradation for Large-Scale BESS in PV Plant

Find a copy of the paper here What is the Problem? Large-scale batteries generate heat during charging and discharging events. So, we are interested to know the impact of charge/discharge regime on the generated heat. Also, it is quite important to quantify the impact of excessive heat in terms of battery degradation. Why is it […]

in Papers/Publications | November 23, 2017 | Comment

500+ Examples of Math, Statistics, and Optimization in MATLAB

I just found about this valuable collection of 500+ examples of Math, Statistics, and Optimization in MATLAB. A great source to get to know many MATLAB toolboxes, such as optimization, neural network, curve fitting, and so on, in action. Check it out and you won’t regret.

in Learning, Programming, Tools | November 9, 2017 | Comment

Recent Posts

  • MATLAB Vectorization Demystified – Part 3: Preallocation
  • MATLAB Vectorization Demystified – Part 2: Matrices and Indexing
  • MATLAB Vectorization Demystified – Part 1: Vectors and Indexing
  • PAPER: Consumers’ flexibility estimation at the TSO level for balancing services
  • PAPER: Improving predictability of renewable generation through optimal battery sizing

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