PV Forecast Service
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Create Murray Bridge PV Site Project

Refer to the setup guide for coordinates and technical specifications to manually create the project.

View Setup Guide

My Active Projects

💡 Database & Project Configurations Guide

When setting up new PV projects, please consider the following model guidelines to achieve the highest prediction accuracy:

1. Location & Weather

Provide precise latitude, longitude, and correct timezone name (e.g. Australia/Adelaide). Weather parameters are automatically pulled from Open-Meteo.

2. Power Model Reference

DC power calculations use the NMOT reference (e.g. 800 W/m² at 45°C). Avoid shifting cell temperature reference coefficients without understanding thermal coefficients.

3. Backtest Verification

To compare predicted vs. actual metrics, verify the upload CSV matches the format: 时间戳,Solar Power(kW) in local site timezone.

Create New PV Project

1. Site Metadata

2. Hardware & Capacity Specs

Select a country above to auto-fill typical PV hardware parameters.

3. Calibration Parameters

Project Details

Configuration Parameters

Generate Power Forecast

Run Historical Backtest (Validate Model vs. Actual CSV)

💡 CSV format must contain timestamp and power. Expected columns: 时间戳, Solar Power(kW).

Historical Forecasts & Backtests

Forecast Analytics Report

Independent Weather Station

Query Global Weather Data

Input coordinates below to get real-time weather and forecasts directly from our global meteorological engine, independent of any project.

Integration API Documentation

Base Configuration

Our server runs at http://localhost:8004. To query programmatically or feed forecast JSON arrays to EMS optimization algorithms, authenticate your calls with your API Key.

Authentication Header

# Include the API key in headers:
X-API-Key: <YOUR_API_KEY>

Fetch Forecasted JSON Sequence

To acquire the prediction sequence as a JSON array (rather than downloading a file), specify format=json in the request parameters.

GET /api/v1/forecasts/{forecast_id}/data?format=json

# Sample Response Structure:
{
  "forecast_id": "8a72b53b-ad2b-4fa8-bdc1-1e9a3b6fc8e2",
  "data": [
    {
      "time": "2026-06-11 08:00:00+09:30",
      "power_kw": 1256.40,
      "poa_global": 340.50,
      "cell_temp": 18.40,
      "temp_air": 12.00,
      "cloud_cover": 20
    },
    ...
  ]
}

Interactive API Clients

To inspect endpoints and execute schema testing, access the auto-generated documentation endpoints. Both endpoints are protected by HTTP Basic Authentication (configured in config.py).

Swagger UI Documentation ReDoc API Reference

System Settings

Developer API Access Key

Use the following token to interface external EMS systems directly with our forecasting engines:

********

Direct Integration Example (cURL)

curl -X POST "http://localhost:8004/api/v1/forecasts" \
  -H "X-API-Key: <YOUR_API_KEY>" \
  -H "Content-Type: application/json" \
  -d '{
    "project_id": "YOUR_PROJECT_ID",
    "start_date": "2026-06-11",
    "end_date": "2026-06-17",
    "resolution": "15min"
  }'

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