Code Repository for: "Multitask Learning for Estimating Power Plant Greenhouse Gas Emissions from Satellite Imagery" from NeurIPS 2021 Workshop on "Tackling Climate Change with Machine Learning"

A basic interactive dashboard with streamlit, plotly and powerplantmatching.

Simulation package for parametric optimization of a two-phase geothermal source ORC powerplant using TESPy

Power plan switcher for Windows 11. Inspired by Windows Keyboard Layout.

OpenPyTEA: An open-source python toolkit for techno-economic assessment of process plants with economic sensitivity and uncertainty evaluation

Is a tool for calculating process of power generating plant from geothermal energy resources.

This repository contains working notebooks and data files for the Platinum Jamat Khana's data wrangling online classes.

Power Plant

Digital Twin for Combined Cycle Power Plant Control and Monitoring using MATLAB/Simulink and Python

Coauthored project comparing ANFIS and machine learning models for forecasting electricity production in a combined cycle power plant. Forked from ear-analytics.

Given some data regarding power plants, clean the data to a useable format, and visualise the data.

Deep learning regression project that predicts power plant energy output using an Artificial Neural Network (PyTorch) with live deployment via Streamlit.

EU Power Plants Exploratory Data Analysis.

An industrial-grade Digital Twin for power plant steam temperature control, featuring high-inertia thermal modeling and robust PID algorithms.

Resources for the N3uron&balena demo on AWS

Personal machine learning project for predicting specific emissions of power plants in Europe

Punch List API - Pending Registration - Back-end

SCADA system implemented in Node-RED. It includes customizable data visualization tabs, a login panel and a login log.

MILP optimization model for a gas-fired power plant — maximizes profit under start-up constraints, limited starts/hours, and uncertain power/gas/CO₂ prices using PuLP + CBC.