Pinned Repositories
Development-of-a-linear-programming-code-based-on-the-simplex-method-revised-in-Python-software
Development of a linear programming code based on the simplex method revised in Pythion software
Energy-optimization-in-smart-buildings-using-mixed-integer-linear-programming-using-GAMS-software
Energy optimization in smart buildings using mixed-integer linear programming using GAMS software
Monthly-Heating-Load-Calculation-with-energy-plus-for-College-of-Energy-Engineering-Sharif-Universi-
The-prediction-of-average-rainfall-and-average-temperature-for-Iran-using-machine-learning-based-on-
The prediction of average rainfall and average temperature for Iran using machine learning based on historical data
Fault-detection-and-diagnosis-in-refrigeration-systems-using-tree-based-machine-learning-algorithms
This repository focuses on the application of FDD to supermarket refrigeration systems. The data is preprocessed, and using the tree-based machine learning algorithms and FDD models were developed.
Fault-detection-and-diagnosis-in-refrigeration-systems-using-tree-based-ML-algorithms
kishfar
Smart-Energy-Buliding-Modeling
A net zero energy building with WT, PV, Battery and GSHP for two different cities This model is developed to calculate the annual energy demand of a smart building. The inputs of this model should be temperature profile of your case study and wind speed profile and heat demand. After all I put two case study (Tehran and, Ottawa) as an ilusteration.
kishfar's Repositories
kishfar/kishfar
kishfar/Fault-detection-and-diagnosis-in-refrigeration-systems-using-tree-based-ML-algorithms
kishfar/Fault-detection-and-diagnosis-in-refrigeration-systems-using-tree-based-machine-learning-algorithms
This repository focuses on the application of FDD to supermarket refrigeration systems. The data is preprocessed, and using the tree-based machine learning algorithms and FDD models were developed.
kishfar/Smart-Energy-Buliding-Modeling
A net zero energy building with WT, PV, Battery and GSHP for two different cities This model is developed to calculate the annual energy demand of a smart building. The inputs of this model should be temperature profile of your case study and wind speed profile and heat demand. After all I put two case study (Tehran and, Ottawa) as an ilusteration.
kishfar/The-prediction-of-average-rainfall-and-average-temperature-for-Iran-using-machine-learning-based-on-
The prediction of average rainfall and average temperature for Iran using machine learning based on historical data
kishfar/Energy-optimization-in-smart-buildings-using-mixed-integer-linear-programming-using-GAMS-software
Energy optimization in smart buildings using mixed-integer linear programming using GAMS software
kishfar/Development-of-a-linear-programming-code-based-on-the-simplex-method-revised-in-Python-software
Development of a linear programming code based on the simplex method revised in Pythion software
kishfar/Monthly-Heating-Load-Calculation-with-energy-plus-for-College-of-Energy-Engineering-Sharif-Universi-