bnajafi / Python4ScientificComputing_Fundamentals
This repository includes the guidelines and the exercise files of the first part of my lectures on python for scientific programming which is dedicated to a general introduction to Python programming language. These lectures are a part of the "Energy and Environmental Technologies for Building Systems" course offered for M.Sc in Energy Eng. a…
☆60Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for Python4ScientificComputing_Fundamentals
- Scientific Python Assignments of Students of the EETBS Course in Politecnico di Milano☆33Updated 6 years ago
- python4ScientificComputing, Numpy, Pandas and Matplotlib☆46Updated 4 years ago
- In this repository, you can find the notebooks and data regarding the lessons on Data-driven building behaviour prediction and simulation…☆32Updated 5 years ago
- Presentation and Project files of the lectures on OpenStudio☆41Updated 6 years ago
- Jupyter notebooks for the Energy and Buildings Publication☆17Updated 4 years ago
- An array of open source ML models applied to long-term hourly energy prediction for institutional buildings☆26Updated 3 years ago
- A simple building energy model written in Python.☆29Updated 2 years ago
- An implementation of peer-reviewed energy data analysis algorithms for site-specific M&V☆24Updated 6 months ago
- OpenStudio measures for modeling building faults☆19Updated 3 years ago
- Open Source Energy Storage Model☆61Updated last year
- Time Series Initialization of Buildings☆19Updated last year
- Bayesian Calibration, Uncertainty, and Sensitivity analysis for OpenStudio building energy models☆12Updated 4 years ago
- ☆20Updated 9 years ago
- Initiatory crash course on Modelica, its standard library and the IDEAS library for building and district energy simulations.☆16Updated last month
- HIRE - HIgh Resolution Energy Demand simulation model☆16Updated 3 years ago
- An IPython notebook analysis of the UWC Tampines commercial building dataset☆13Updated 5 years ago
- Experiments in using deep learning to model competition in liberalised electricity markets.☆48Updated last year
- A tool for calculating avoided costs.☆16Updated 3 months ago
- power systems tools made beautiful☆71Updated 7 months ago
- Automated Measurement & Verification tool for energy data☆13Updated 8 years ago
- 1st winning solution in Large-scale Energy Anomaly Detection (LEAD) competition☆9Updated 2 years ago
- Python library for cosimulation with EnergyPlus☆11Updated 6 years ago
- ☆28Updated 4 years ago
- Short-term load forecasting☆25Updated 4 years ago
- The windML framework provides an easy-to-use access to wind data sources within the Python world, building upon numpy, scipy, sklearn, an…☆129Updated 9 months ago
- Python code backing WRI technical note "Simulator to Quantify and Manage Electric Vehicle Load Impacts on Low-voltage Distribution Grids"☆10Updated 3 years ago
- Industry-Energy-Tool-(IET)☆17Updated last year