A Fast DNN Accelerator Design Space Exploration Framework.

INFRA-COMPASS is a tool that leverages Large Language Models (LLMs) to create and maintain an inventory of state and local codes and ordinances applicable to energy infrastructure.

Marmot is a data formatting and visualization tool for production cost and capacity expansion modelling results. It provides an efficient way to combine and view disaggregated results, while also creating publication ready figures and data tables.

Hookean mechanics simulator with a "ticking mesh" mechanic to capture the behavior of linear elastic members between nodes and anchors. Extends analytical solution for more complicated systems.

Analysis of wind turbine data for a given location

Symbolic energy CLI — analyze, transform, encrypt and optimize text using the GDk9 implication engine. Python ≥3.9, zero runtime dependencies.

Sankey and Grassmann diagrams for energy and exergy analysis.

Python-based Power Consumption Data Analyzer for energy usage monitoring, anomaly detection, forecasting, peak load analysis, cost optimization, and visualization. Built using Pandas, NumPy, Scikit-Learn, Matplotlib, and statistical analysis techniques.

Compares solar radiation potential against photovoltaic generation capacity using geospatial analysis and system loss modeling. Processes ANEEL venture data with PVGIS radiation timeseries.

Global Power Plant Database Analysis is a Streamlit-based interactive web app designed to explore and analyze worldwide energy generation data

Machine learning-based anomaly detection on building energy consumption data using the BDG2 dataset.

Interactive data visualization and machine learning app for energy consumption analysis and prediction in France, built with Streamlit. (Text in French)