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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.

Language: Jupyter Notebook - Size: 28.6 MB - Last synced at: 2 days ago - Pushed at: about 2 months ago - Stars: 6 - Forks: 1

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.

Language: Jupyter Notebook - Size: 772 KB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0

Sanjanaharishpoojary/electricity-demand-forecasting-ml

Predicting electricity demand using LSTM and Random Forest models. A Comparative study with load & weather data

Language: Python - Size: 2.26 MB - Last synced at: 17 days ago - Pushed at: 18 days ago - Stars: 0 - Forks: 0

cuge1995/awesome-energy-forecasting

list of papers, code, and other resources

Size: 69.3 KB - Last synced at: 4 days ago - Pushed at: over 3 years ago - Stars: 65 - Forks: 10

arthurgassner/swissenergy-backend

ML backend powering an energy consumption prediction dashboard.

Language: Jupyter Notebook - Size: 18.7 MB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

patcha-ranat/Big-Data-for-Energy-Management

Time Series Forcasting and Clustering for Energy Management - Machine Learning & Imputation

Language: Jupyter Notebook - Size: 134 MB - Last synced at: 6 months ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

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).

Language: Jupyter Notebook - Size: 123 MB - Last synced at: 5 months ago - Pushed at: over 1 year ago - Stars: 6 - Forks: 3

hirenhk15/uci-appliances-energy-prediction

Experimental data used to create regression models of appliances energy use in a low energy building.

Language: Jupyter Notebook - Size: 2.5 MB - Last synced at: 10 months ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

waylongo/cis-challenge-energy-prediction

My solution to solve the second IEEE-CIS technical challenge

Language: Jupyter Notebook - Size: 712 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 2

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.

Language: Jupyter Notebook - Size: 2.18 MB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

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

Paper in Science and Technology for the Built Environment about the GEPIII Competition

Language: Jupyter Notebook - Size: 37.6 MB - Last synced at: 11 months ago - Pushed at: over 4 years ago - Stars: 7 - Forks: 0

Thomas-George-T/Appliance-Energy-Prediction

Predicting the Energy consumed by appliances using Machine Learning algorithms built from scratch

Language: Jupyter Notebook - Size: 7.73 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

tohid-yousefi/Predicting_the_Energy_Efficiency_of_Buildings

In this section, predicting the energy efficiency of buildings with machine learning algorithms.

Language: Jupyter Notebook - Size: 191 KB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

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