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"
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Updated
Jul 10, 2024 - Python
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
Is a tool for calculating process of power generating plant from geothermal energy resources.
Coauthored project comparing ANFIS and machine learning models for forecasting electricity production in a combined cycle power plant. Forked from ear-analytics.
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.
i used NSGA-II algorithm (genetic algorithm) in python for finding the best maintaining schedule of Units within 4 intervals
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