PyPSA / PyPSA/atlite

Implement alternative to clearsky model (Bayesian model)

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type: enhancement
Dominant language
Python
Stars
402
Forks
134
PR merge metrics
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Description

Suggested by @FabianHofmann during our recent work on the FOSS paper.

Implement an alternative to the currently used clearsky model based on Bayesian statistics.

Detailed Description

n/a

Context

Relevance/Importance = ?

Possible Implementation

Reference:
Philippe Lauret, John Boland, Barbara Ridley,
Bayesian statistical analysis applied to solar radiation modelling,
2013,
https://doi.org/10.1016/j.renene.2012.01.049.

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by locating the currently used clearsky model in the atlite codebase and understanding its inputs and outputs. Read the referenced paper by Lauret, Boland, and Ridley, then define the Bayesian alternative's scope and acceptance criteria before implementing and testing it.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
data
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
20/100

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