GitHub topics: energy-prediction
Shengwei-Peng/PV-Power-Generation-Forecasting
A project focused on forecasting solar photovoltaic (PV) power generation using regional microclimate data. Implements machine learning models like CatBoost, LightGBM, and XGBoost for predictions, leveraging environmental features like temperature, humidity, wind speed, and solar radiation.
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samresume/EnergyPredictor-Kaggle
This project addresses the challenge of predicting baseline energy usage in buildings for performance-based financing. Participants estimate what energy a building *would have used* without retrofits, enabling fair billing and encouraging investment in energy efficiency.
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Sanjanaharishpoojary/electricity-demand-forecasting-ml
Predicting electricity demand using LSTM and Random Forest models. A Comparative study with load & weather data
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cuge1995/awesome-energy-forecasting
list of papers, code, and other resources
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arthurgassner/swissenergy-backend
ML backend powering an energy consumption prediction dashboard.
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patcha-ranat/Big-Data-for-Energy-Management
Time Series Forcasting and Clustering for Energy Management - Machine Learning & Imputation
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HSE-LAMBDA/ai4material_design
Code for Kazeev, N., Al-Maeeni, A.R., Romanov, I. et al. Sparse representation for machine learning the properties of defects in 2D materials. npj Comput Mater 9, 113 (2023).
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hirenhk15/uci-appliances-energy-prediction
Experimental data used to create regression models of appliances energy use in a low energy building.
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waylongo/cis-challenge-energy-prediction
My solution to solve the second IEEE-CIS technical challenge
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sandeshbhatjr/energy-prediction
What is the SOTA technique for forecasting day-ahead and intraday market prices for electricity in Germany?
Language: Python - Size: 12.5 MB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 24 - Forks: 3

tushar2704/Energy-usage-Prediction
This project is to develop a robust model capable of accurately predicting energy consumption in buildings. This endeavor involves harnessing historical energy usage data in conjunction with diverse weather and environmental variables to construct an effective predictive model.
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buds-lab/ashrae-great-energy-predictor-3-overview-analysis
Paper in Science and Technology for the Built Environment about the GEPIII Competition
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Thomas-George-T/Appliance-Energy-Prediction
Predicting the Energy consumed by appliances using Machine Learning algorithms built from scratch
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tohid-yousefi/Predicting_the_Energy_Efficiency_of_Buildings
In this section, predicting the energy efficiency of buildings with machine learning algorithms.
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jakublala/alchemical-kernels
Pytorch implementation of Alchemical Kernels from Phys. Chem. Chem. Phys., 2018,20, 29661-29668
Language: Python - Size: 1.13 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0
