3 results found Sort:

ritikdhame
Electricity_Demand_and_Price_forecasting ritikdhame
9
61
unknown
1
Building Time series forecasting models, including the XGboost Regressor, GRU (Gated Recurrent Unit), LSTM (Long Short-Term Memory), CNN (Convolutional Neural Network), CNN-LSTM, and LSTM-Attention. A...
cnn gru lstm cnn-lstm lstm-attention xgboost-regression
Created 2023-07-18
2 commits to main branch, last one about a year ago
MYoussef885
House_Price_Prediction MYoussef885
14
25
unknown
1
The "House Price Prediction" project focuses on predicting housing prices using machine learning techniques. By leveraging popular Python libraries such as NumPy, Pandas, Scikit-learn (sklearn), Matpl...
numpy python sklearn data-science seaborn-plots machine-learning pandas-dataframe matplotlib-pyplot xgboost-regression google-colab-notebook
Created 2023-09-14
4 commits to main branch, last one about a year ago
tstran155
Optimization-of-building-energy-consumption tstran155
6
24
unknown
1
This repo demonstrates how to build a surrogate (proxy) model by multivariate regressing building energy consumption data (univariate and multivariate) and use (1) Bayesian framework, (2) Pyomo packag...
hvac ipopt pymoo pyomo nsga-ii deterministic gurobi-solver sobol-indices building-energy cross-validation xgboost-regression bayesian-optimization nonlinear-optimization multivariate-regression probabilistic-inference stochastic-optimization latin-hypercube-sampling machine-learning-algorithms multi-objective-optimization genetic-optimization-algorithm
Created 2023-02-18
66 commits to main branch, last one 2 years ago