Nanda Kishor Panda's Projects
Teaching materials for the applied machine learning course at Cornell Tech (online edition)
The following code is a mixed integer linear programming (MILP) optimisation for an multi period economic load dispatch problem. It is implemented using pyomo.
For TARP and SMART grid Project.
My personal website
Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation
Clustering of sensor nodes in MATLAB using K means ++
Customised thesis format based on https://github.com/nkpanda97/tudelft-report-thesis-template
This project is the implementation of a multi area load frequency control of a electrical network implemented using model based control. The control strategy is designed in MATLAB and tested on a simulink model
Implementation of centralized training, centralized execution of Soft Actor-Critic (SAC) on a Tennis multiagent Unity environment.
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Environment for the Parallel Python workshop
This is a MATLAB simulation of the implementation of Power Matcher in LV Grid for Residential Consumers
Workflow on an energy systems application of risk assessment – Data pre-processing, standardization, normalization. – Feature selection – Model selection and training
An object-oriented algebraic modeling language in Python for structured optimization problems.
Examples and tutorials for running your Python based code in High Power Computing (HPC) clusters
Solution of a two-stage stochastic model useful for investment planning using pyomo and mpi-sppy.
A LaTeX report/thesis template that aims to simplify and improve the (Xe)LaTeX template provided by the TU Delft. Ready-to-go with its rewritten class file and redesigned cover page.
This is the published code for aggregating using ul-flexibility method proposed by Panda N.K. & Tindemans S.H.