ashrae-energy-prediction

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buds-lab / ashrae-great-energy-predictor-3-solution-analysis
Analysis of top give winning solutions of the ASHRAE Great Energy Predictor III competition
rank-solution kaggle-competition kaggle ashrae-energy-prediction ashrae energy-consumption energy-data building-energy-forecasting building-energy
Language:Jupyter Notebook 72
mz256 / ashrae_energy_forecast
Time series forecasting for energy consumption, ASHRAE dataset on Kaggle. Data wrangling and FE (Pandas), regression (RF, LightGBM, DNN).
kaggle-competition energy-data ashrae-energy-prediction building-energy-forecasting deep-learning gradient-boosting lightgbm-regressor machine-learning
Language:Jupyter Notebook 0
VikasSingh-DS / kaggle-ASHRAE-Great-Energy-Comp
In this project, we have to develop accurate models of metered building energy usage in the following areas: chilled water, electric, hot water, and steam meters. The data comes from over 1,000 buildings over a three-year timeframe. With better estimates of these energy-saving investments, large scale investors and financial institutions will be more inclined to invest in this area to enable progress in building efficiencies.
ashrae-energy-prediction eda data-visualization machine-learning energy-consumption lgbm feature-engineering data-cleaning
Language:Jupyter Notebook 0

buds-lab / ashrae-great-energy-predictor-3-solution-analysis