robinmatthew05

robinmatthew05's Stars

• marvinatorrr/SOH-estimation

  Lithium ion battery state of health estimation and remaining useful life prediction using ELM

  Language:Jupyter Notebook539

• WenPengfei0823/PINN-Battery-Prognostics

  State of Health (SoH) and Remaining Useful Life (RUL) prediction for Li-ion batteries based on Physics-Informed Neural Networks (PINN).

  Language:Python13319

• standing-o/SoH_estimation_of_Lithium-ion_battery

  State of health (SOH) prediction for Lithium-ion batteries using regression and LSTM

  Language:Jupyter Notebook18643

• psanabriaUC/BatteryDatasetImplementation

  Implementation of a model that predicts the SoH of batteries using the NASA Battery Dataset

  Language:Jupyter Notebook9531

• ClimateMARGO/ClimatePlots

  Simple notebooks for plotting carbon and climate responses to emissions scenarios.

  Language:Jupyter Notebook2

• malmusfer/fuel_consumption_Regression_Modeling

  About this Notebook In this notebook, we learn how to use scikit-learn to implement simple linear regression. We download a dataset that is related to fuel consumption and Carbon dioxide emission of cars. Then, we split our data into training and test sets, create a model using training set, evaluate your model using test set, and finally use model to predict unknown value.

  Language:Jupyter Notebook2

• dalvarez83/TimeSeries

  Time series analysis of carbon emissions outputs by electricity generation source using US Energy Information Administration information performed in iPython Notebook

  Language:Jupyter Notebook1

• wri/carbon-budget

  Calculate gross GHG emissions, gross carbon removals (sequestration), and net flux from forests globally

  Language:Python7630

• fvaleye/tracarbon

  🌍 Tracarbon tracks your device's energy consumption and calculates your carbon emissions using your location.

  Language:Python966

• absambam/Carbon-Footprint-Calculator

  calculating carbon dioxide emissions given the user is travelling from place A to B

  Language:Python136

• hybridflux/SparkOnSpot

  Reduce Carbon Emission with Spot VMs

  Language:Python62

• ourlifeinkodaks/Carbon-Prediction

  A linear regression algorithm to predict C02 emission of cars based on features like Engine Size, Cylinders and so on.

  Language:Python63

• trynthink/scout

  A tool for estimating the future energy use, carbon emissions, and capital and operating cost impacts of energy efficiency and demand flexibility technologies in the U.S. residential and commercial building sectors.

  Language:Python6022

• floriandierickx/emission-budgets

  visualising country-specific carbon budgets

  Language:Python11

• KwangJungOSS/DCE_BackEnd

  RDCE(Reduce Digtal Carbon Emission). This is for OSS 2022.

  Language:Python24

• DrafProject/elmada

  Dynamic electricity carbon emission factors and prices for Europe

  Language:Python243

• dhruv-gautam16/Predicting-Carbon-Emission

  Language:Python7

• libora6/Investigating-GDP-and-Carbon-Emissions

  This Jupyter Notebook was made to investigate the World Bank's datasets on GDP (Gross Domestic Product) and Carbon Emissions from countries around the globe

  Language:Jupyter Notebook2

• antoniodagnino/TimeSeriesForecasting_CarbonEmissions

  Forecast Carbon Emissions with Time-Series data. This repository contains 2x Jupyter Notebooks that predict Carbon Emissions in the United States using Neural Basis Expansion Analysis for Time series (NBeats). The second notebook has an extra pre-processing step of data been scaled and inverse-transformed before final results.

  Language:Jupyter Notebook12

• abhiwalia15/fuel-consumption-and-Carbon-dioxide-emission-of-cars

  In this notebook, we learn how to use scikit-learn to implement simple linear regression. We download a dataset that is related to fuel consumption and Carbon dioxide emission of cars. Then, we split our data into training and test sets, create a model using training set, evaluate your model using test set, and finally use model to predict unknown value.

  Language:Jupyter Notebook44