A list of benchmark suites used in the research related to compilers, program performance, scientific computations etc.

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.

OpenEPT Graphical User Interface

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.

Worked in a four-member team on a project to forecast energy consumption in Valencia using Python. Performed exploratory data analysis to enhance data quality and conducted advanced predictive modelling with XGBoost and Random Forest. Presented findings through sophisticated data visualizations to academic stakeholders.

This repository contains a collection of user-friendly tutorials and guides for working with the Siting Lab data within the context of the reV model. The python code examples demonstrate the creation and transformation of Siting Lab data into reV compliant format as well as working with the reV model inputs and outputs.

Holds software, notes, documentation, and publications related to the ARFC I2CNER project on dynamic energy systems analysis.

Challenges of the Internet of Things course - Politecnico di Milano 2024/25

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

Objective is to visualize RECS 2009 (n-dimensional data) and use feature reduction techniques to understand the impact of type of housing unit on the energy consumption pattern

Sankey and Grassmann diagrams for energy and exergy analysis.

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

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

Interactive EV analytics dashboard built with React, Tailwind CSS, and TypeScript. Visualizes electric vehicle charging patterns, predicts State of Health (SOH) and energy demand using machine learning, and provides real-time data insights for grid optimization.

Calgary’s GHG and energy trends analyzed from 2000-2018 using cleaned datasets, a Power BI star schema, and DAX‑driven KPIs. Includes data engineering, modeling, and interactive dashboards to reveal emissions patterns, energy use insights, and policy‑relevant findings.

Electricity consumption analysis using Python and NumPy

Real-world data analytics project using SQL and Power BI to analyze Iraq’s CO₂ emissions and energy usage (1960–2024)

R package for Water-Energy-Food-Nutrient-Carbon nexus analysis in agriculture | Published on CRAN