Domain specific language for generating EnergyPlus idf files and DOE-2 BDL files.
The exergy analysis of different power plant components is brought into this repository. The primary focus is on the Rankin and Brayton cycles. The repository consists of two main parts: the components level models and the cycle level.
NREL Engage Project
Canadian transportation aggregator for the CANOE energy model (Temoa-compatible datasets)
Canadian industry sector aggregator for the CANOE energy model (Temoa-compatible datasets)
Hacettepe University SEC 597 Energy Modeling elective course illustrative materials
Repository containing my doctoral thesis work using the STEVFNs model adapted for multi-year handling
Node.js програма для автоматичного оброблення Excel-файлів додатків до енергетичних сертифікатів будівель, вилучення вхідних даних для математичної моделі ДСТУ 9190:2022 та розрахунку енергоспоживання.
Calculates heating power, electrical power, and COP maps for heat pumps based on user-defined temperature envelopes and empirical efficiency curves. Supports multiple refrigerants, customizable compressor parameters, and exports results to CSV and interactive HTML heatmaps.
IDA ICE Energy Simulation ETL Pipeline, ETL pipeline for extracting, transforming, and loading IDA ICE building energy simulation outputs for analysis outside of the software, useful only for huge and long simulations.
Welcome to my GitHub portfolio containing select projects at the intersection of data analytics, environmental science, and geophysics, and reflecting a transition from a research-intensive background in Earth Sciences to applied work in Data Science.
Modular, physics-informed simulation of local smart grids with battery storage, decentralized trading, overload mitigation, and line-loss modeling.
Canadian fuel sector aggregator for the CANOE energy model (Temoa-compatible datasets)
Desktop app built with Flutter to simulate solar PV array energy assessment using the OSM-MEPS model at fixed tilt-azimuth orientations (check the releases sidebar/tab).
Machine Learning project for optimizing wind turbine blade performance using Random Forest models, with a full Flask web app and live deployment.
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