Mert Alici

Off-Grid Hybrid Renewable Energy Systems' performance analysis based on IEC 61724 standards. 24-hours ahead solar radiation forecasting by using artificial neural networks with an accuracy range between 96% and 98%. Long-short term memory (LSTM) was implemented as recurrent neural network architecture.

Monitoring irradiance and power output measurement data of 150 PV power plants across Europe. Reference cell and pyranometer irradiance sensors calibration. Managing sensor deployment and power plant maintenance database.

Developed a generic schedule optimization tool which can generate optimal schedules for either batch processing and single product processing. Worked on optimization algorithms and methods to combat schedule nervousness problem. Developed a MILP model with novel constraints that yield stable schedules in case of re-scheduling.

Optimization of forklift movements in the factory. Created spagetti diagram of forklift movements withing the factory. Implemented 6-sigma and 5S applications to reduce non-value added forklift movements. OEE loss caused by forklift waiting was reduced by 45%

Created a computer simulation of a logistic project by using Arena Simulation. Optimized process flow of the logistic project Developed Excel macros that reduced total non-value added time spent during routine spreadsheet tasks.

Specialized in solar PV and solar thermal energy technologies with a personal focus on optimization algorithms used in energy systems and energy markets.

Non-linear and stochastic optimization models. Application of meta-huristics such as genetic algorithm, bee swarm algorithm, artificial immune system algorithm and ant colony algorithm in scheduling optimization.