Energy Forecast Script
by Community · open-source · Last verified 2026-03-17
Forecasts electricity demand and renewable generation (solar/wind) using Temporal Fusion Transformer or N-HiTS via NeuralForecast, with weather feature integration and probabilistic intervals for grid balancing. Outputs 24-hour and 7-day ahead forecasts in an InfluxDB-compatible format.
https://github.com/Nixtla/neuralforecast ↗C
C—Below Average
Adoption: CQuality: AFreshness: ACitations: CEngagement: F
Specifications
- License
- Apache-2.0
- Pricing
- open-source
- Capabilities
- tft-forecasting, probabilistic-intervals, weather-features, influxdb-export
- Integrations
- neuralforecast, pandas, influxdb-client, open-meteo-api
- Use Cases
- grid-balancing, renewable-curtailment, energy-trading
- API Available
- No
- Language
- python
- Dependencies
- neuralforecast, pandas, numpy, influxdb-client, requests
- Environment
- Python 3.10+, CUDA optional
- Est. Runtime
- Training: 30-120 min; inference: <1s
- Tags
- energy, demand-forecasting, time-series, neural-forecast, renewables
- Added
- 2026-03-17
- Completeness
- 100%
Index Score
46.1Adoption
48
Quality
82
Freshness
85
Citations
42
Engagement
0