keremakdemir Goto Github PK

demand_climate_interactions

This project provides an overview of building machine learning models to predict daily maximum electricity demand in Boston area and understanding the impact of specific climate patterns, namely El Niño-Southern Oscillation (ENSO), North Atlantic Oscillation (NAO), and Pacific–North American (PNA) pattern.

diabetes_detection

go_west_mre_impacts

UC/ED model of U.S. Western Interconnection with marine renewable energy (MRE) integration. The model allows user to make various modeling choices including number of nodes, mathematical formulation, transmission line capacity and hurdle rate scaling.

isone_uced

UC/ED model of the New England electricty grid with offshore wind integration

isone_uced_sandy

Grid operations model of the ISO New England system during Hurricane Sandy. The simulations include generation mix predictions of 2030 and 2040 according to NREL and ISO-NE.

jump_gridops

Economic dispatch (ED) modeling example with Julia/JuMP. This tutorial includes creating and experimenting with a basic ED model of a 3-bus system.

niciso_planning

This modeling tool helps make recommendations on electricity market design and energy policy to a hypothetical system operator called NicISO. This model is created as part of the ENV 717 - Electricity Markets course at Duke University.

pipe_network_flow_solver

This project includes a solver to determine the flows in a pipe network. The solver utilizes Hardy Cross and breadth first search (BFS) algorithms.

transmission_expansion_planner

Transmission expansion planning (TEP) model for the U.S. Western Interconnection. This model utilizes linear programming (LP) to optimize transmission line investment decisions by considering representative grid conditions in each month of a future year. This tool includes an embedded economic dispatch (ED) model to simulate grid operations.