nkpanda97

cornell-cs5785-2020-applied-ml

Teaching materials for the applied machine learning course at Cornell Tech (online edition)

EconomicDispatch

The following code is a mixed integer linear programming (MILP) optimisation for an multi period economic load dispatch problem. It is implemented using pyomo.

EnergyMonitor

For TARP and SMART grid Project.

imnkp

My personal website

JCI-Clustering

Clustering of sensor nodes in MATLAB using K means ++

LFC_SmartGrid

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

PowerSystem_RiskAssessment

Workflow on an energy systems application of risk assessment – Data pre-processing, standardization, normalization. – Feature selection – Model selection and training

run_in_hpc

Examples and tutorials for running your Python based code in High Power Computing (HPC) clusters

stochastic-investment-planning

Solution of a two-stage stochastic model useful for investment planning using pyomo and mpi-sppy.

tudelft-report-thesis-template

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.

nkpanda97/EconomicDispatch

The following code is a mixed integer linear programming (MILP) optimisation for an multi period economic load dispatch problem. It is implemented using pyomo.

nkpanda97/stochastic-investment-planning

Solution of a two-stage stochastic model useful for investment planning using pyomo and mpi-sppy.

nkpanda97/LFC_SmartGrid

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

nkpanda97/run_in_hpc

Examples and tutorials for running your Python based code in High Power Computing (HPC) clusters

nkpanda97/cornell-cs5785-2020-applied-ml

Teaching materials for the applied machine learning course at Cornell Tech (online edition)

nkpanda97/PowerSystem_RiskAssessment

Workflow on an energy systems application of risk assessment – Data pre-processing, standardization, normalization. – Feature selection – Model selection and training

nkpanda97/EnergyMonitor

For TARP and SMART grid Project.

nkpanda97/imnkp

My personal website

nkpanda97/JCI-Clustering

Clustering of sensor nodes in MATLAB using K means ++

nkpanda97/latex_tudelft

Customised thesis format based on https://github.com/nkpanda97/tudelft-report-thesis-template

nkpanda97/nkpanda97

Config files for my GitHub profile.

nkpanda97/OptimalPacement_SVC

nkpanda97/tudelft-report-thesis-template

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.

nkpanda97/nkpanda97.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

nkpanda97/parallel-python-workshop

Environment for the Parallel Python workshop

nkpanda97/PowerMatcher

This is a MATLAB simulation of the implementation of Power Matcher in LV Grid for Residential Consumers

nkpanda97/pyomo

An object-oriented algebraic modeling language in Python for structured optimization problems.

nkpanda97/sphinx_rtest

nkpanda97/sustainable_energy_project

nkpanda97/ul-flexibility

This is the published code for aggregating using ul-flexibility method proposed by Panda N.K. & Tindemans S.H.