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Matlab and Python code of Dung Beetle Optimizer
Forecasting Atmospheric CO2 and Forecasting Restaurant Visitors using classical (Holt-Winter's and ARIMA) and contemporary (RNNs and LSTMs) approaches
A hybirid mechanistic and data-driven (DAE-LSTM) model for estimating the CO2 concentration profile for a carbon capture plant.
Forecast of World's CO2 Emissions using ARIMA and LSTM Models
This project would be proposing a hybrid approach to time series forecasting of Carbon emissions by combining SARIMA model along with LSTM.
Minimal, clean example of lstm neural network training in python, for learning purposes.
User Carbon Emissions Prediction Using LSTM
Machine learning models for 24-hour carbon intensity forecasting of the power grid, using 30-minute intervals. Implements XGBoost and LSTM for accurate, time-series predictions to assess grid emiss…
CarbonPrediction: A Python-based system for accurately forecasting carbon emissions using advanced LSTM models.