[SciPy-User] [ANN] pvlib-python v0.7.0: predicting power for solar energy

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[SciPy-User] [ANN] pvlib-python v0.7.0: predicting power for solar energy

Dr. Mark Alexander Mikofski PhD
 pvlib has a new major release, v0.7.0

Release Notes:


Here's a quick summary:
  • dropped support for Python-2.7
  • new `ivtools` module for fitting solar panel parameters
  • new implementation of the cloud wavelet variability model (WVM)
  • new functions for temperature and incidence angle modifier (IAM) models
  • updated solar panel and inverter parameters databases from National Renewable Energy Lab (NREL)
Also note this is a major release so there are a few breaking API changes. Users should probably read the release notes and check their code before updating:

--
Mark Mikofski, PhD (2005)
Fiat Lux

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Re: [ANN] pvlib-python v0.7.0: predicting power for solar energy

Dr. Mark Alexander Mikofski PhD
On Fri, Dec 20, 2019, 8:12 AM ashwin .D <[hidden email]> wrote:
Hello Mark,
                      For somebody who is just starting off on this topic is there a book I can read up on this topic and then try out the examples ?
Best regards,
Ashwin.

Dear Ashwin and others,

"Applied Photovoltaics" by Stuart Wenham is a really good book

The Sandia PVPMC website is a great online reference for PV modelers

PVCDROM is another very comprehensive website

The pvlib documentation is also useful

Hopefully this is enough too get you and other folks startedstarted.

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