Ayda Darvishan

Evaluating Machine Learning and Deep Learning models for predicting Wind Turbine power output from environmental factors

Effect of various design configurations and operating conditions for optimization of a wind/solar/hydrogen/fuel cell hybrid microgrid system by a bio-inspired algorithm

Different states of multi-block based forecast engine for price and load prediction

Fuzzy-based heat and power hub models for cost-emission operation of an industrial consumer using compromise programming