Project Name	Stars	Most Recent Commit	Open Issues	License	Language
Gempak	64	6 months ago	34	bsd-3-clause	C
Analysis and product generation for meteorological data.
Tgdlf	11	2 years ago		mit	Python
Theory-guided deep-learning load forecasting is a short-term load forecasting model that combines domain knowledge and machine learning algorithms.
Python Ml Rolling Grid Search	8	7 years ago		mit	Python
Hyperparameter tuning and rolling time-series forecast for machine learning models
Clusterforecast	7	5 years ago		gpl-3.0	R
Clustering-based Forecasting Method for Individual End-consumer Electricity Consumption Using Smart Grid Data

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Gempak ⭐ 64

Analysis and product generation for meteorological data.

most recent commit 6 months ago

Tgdlf ⭐ 11

Theory-guided deep-learning load forecasting is a short-term load forecasting model that combines domain knowledge and machine learning algorithms.

most recent commit 2 years ago

Python Ml Rolling Grid Search ⭐ 8

Hyperparameter tuning and rolling time-series forecast for machine learning models

most recent commit 7 years ago

Clusterforecast ⭐ 7

Clustering-based Forecasting Method for Individual End-consumer Electricity Consumption Using Smart Grid Data

most recent commit 5 years ago

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