Web application for the simulation of day-ahead energy markets
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Updated
Jul 9, 2017 - CSS
Web application for the simulation of day-ahead energy markets
RWTH Bachelor’s thesis: Optimization algorithm that balances the residual load in microgrids with heat pumps and combined heat / power units, while maintaining data privacy and economical fairness.
Solving Resource Allocation problems with Mixed-Integer Linear Programming in Python
A Bionomic Algorithm for the Aircraft Landing Problem
Optimal solution for persistence coverage problem
Evaluation of Resilience in Neural Networks using MILP
A Mixed-Integer-Linear-Programming (MILP) problem, formulation, and solution for a power systems generator biding strategy. The objective function is the sum of the unit price of the MW multiplied by the quantity to be accepted added to the other ranges and their respective products plus the no-load cost.
MRCPSP: This is an implementation of multi-mode resource constrained project scheduling problem (MRCPSP) in MATLAB.
Factory Planning Optimization Project (2015)
Dantzig-Wolfe series of decomposition and reformulation algorithm to solve MILP
some fun with reformulating non-convex programs as convex programs
Expiremental multi-loan payoff schedule optimizer
Implemented MILP for profit optimization as part of prescriptive analytics solution for NY based Fortune 200 CPG industry partner, using branch-and-bound algorithm
Supply chain planning using max flow formulated as mixed integer linear programming
Optimization (MILP) and dynamic simulation frameworks for modelling hydrogen and CO2 process systems
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