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Vernay Project Overview

Introduction

The Vernay project consists of two main components: a data collector and a prediction model. The data collector is a prerequisite for running the prediction model, and it is responsible for gathering data related to photovoltaic (PV) system power generation. This data can be obtained either as CSV files or stored directly in an PostgreSQL database.

Data Collection Process

CSV Files

  • Before collecting data, run definitions.py to set up project definitions, configurations, and the output directory.
  • To collect data in CSV format, run the command vernay.scrape_all().

SQL Database

  • Define the database connection parameters in config.cfg.
  • To collect data directly into an postgres database, follow the configuration steps and then run vernay.scrape_all().

Data Prediction Model

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