Energy Economical Model has been developed to quantitatively answer the following question for industrial units, "What is the best energy source mix for my facility and operations?"
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Updated
Apr 3, 2024 - Python
Energy Economical Model has been developed to quantitatively answer the following question for industrial units, "What is the best energy source mix for my facility and operations?"
The transmission system expansion project applicatin to study Nordic's energy system
Local-Global MCMC kernels: the best of both worlds (NeurIPS 2022)
Course project for CS726 @ IIT Bombay.
The transmission system expansion project applicatin to study Nordic's energy system
A CNN model trained to learn the distribution of the MNIST digits.
Machine learning applications
Deep Belief Network for Predicting Compound-Protein Interactions
Version 2.0 of the Energy Economical Model improves upon the original EEM release (see separate repo) by adding support for bulk upload of load profile and existing source utilization as well as Battery Energy Storage Systems.
Practical works on Bayesian classification, Hidden Markov Models and Restricted Boltzmann Machines
The transmission system expansion project application to study illustrative three-nodes energy system
Cooling and Heating Optimization based on Deep Q-Learning.
Biologically plausible learning in visco-elastic materials: energy-based model (EBM) approach to learning based on prospective configuration.
A practical method for training energy-based language models.
This is the repo for the master thesis at ITA - RWTH Aachen
A hobby project developing Energy Based Models in Julia
Post-hoc Out-of-Distribution Detection
performs Bayesian inference modeling to scope environmental impact assessments in sociotechnical energy systems
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