HELLO, I'M
Isha Arora
Professor in Electrical Engineering
About
MY BACKGROUND
With an excellent academic record, I have both the skill set and professional background necessary to dive deep into the world of Power Systems. As a researcher with good communication, I envision an exciting future in the industry. Browse my site to see all that I have to offer.
Education
WHAT I’VE LEARNED
2017-2021
PEC University – Chandigarh
Doctor of Philosophy; Power Systems (PV Panels)
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Experience
WHERE I’VE WORKED
Oct. 2021–Present
Assistant Professor, Electrical Engineering Department, Dronacharya College of Engineering, Gurgaon
2014-2016
Thapar University – Patiala, Punjab; Class of 2016
Master of Engineering; Power Systems
GPA: 9.33/10
2010–2014
Thapar University – Patiala, Punjab; Class of 2014
Bachelor of Engineering; Electrical Engineering
GPA: 8.29/10
Skills & Languages
WHAT I BRING TO THE TABLE
MATLAB
HOMER
SketchUp
LaTex
English
Hindi
Punjabi
Awards
WHERE I SHINE
Won the Best Paper Award for “Monthly Averaged All Sky Solar Irradiance Prediction Using Artificial Neural Networks for Chandigarh region” presented at 43rd National Systems Conference on Innovative and Emerging Trends in Engineering Systems (NSC-2019), December 6-8, 2019, organised by Department of Mechanical & Industrial Engineering, IIT Roorkee, Roorkee
Publications
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Arora I., Gambhir J. & Kaur, T. (2021). Data Normalisation-based Solar irradiance Forecasting using Artificial Neural Networks. Arabian Journal for Science and Engineering, vol.46, pp. 1333-1343.
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Kaur, T., Arora I., Gambhir J., Kaur, R. & Gera A. (2021). Experimental Study on Tilt Angle and Orientation of Rooftop PV Modules for Maximising Power Output for Chandigarh, India. Renewable Energy Systems: Modelling, Optimization and Applications (RESMOA 2021), Wiley Book Chapter (accepted).
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Arora I., Kaur, T. & Gambhir J. (2021). Variable Selection Technique for Solar Global Irradiance Prediction. Control and Measurement Applications for Smart Grid, Lecture Notes in Electrical Engineering, Springer (accepted).
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Arora I., Gambhir J. & Kaur, T. (2021). Monthly Averaged All Sky Solar Irradiance Prediction Using Artificial Neural Networks for Chandigarh region. Advances in System Engineering, Lecture Notes in Mechanical Engineering, Springer, pp. 427-435, DOI 978-981-15-8025-3_42, © 2021.
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Arora I., Gambhir J. & Kaur, T. (2020). “Decimal Normalisation based Artificial Neural Network Model for Daily Averaged All Sky Solar Irradiance Prediction”, In Proc. International Conference on Integrated Interdisciplinary Innovations in Engineering (ICIIIE), Chandigarh.
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Arora I., Gambhir J. & Kaur, T. (2020). “Solar Irradiance Forecasting using Decision Tree and Ensemble Models”, In Proc. International Conference on Inventive Research in Computing Applications (ICIRCA), Coimbatore, pp. 675-681.
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Arora I., Gambhir J. & Kaur, T. (2019). Impact of Dust Deposition on PV Panels and Cleansing Methods. Journal of Emerging Technologies and Innovative Research, UGC approved journal, vol.6, pp. 1-6.
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Arora I., Gambhir J. & Kaur, T. (2018). “Soiling Effects on PV panels and cleaning technique”, In Proc. International Conference on Power Electronics, Intelligent control and Energy Systems (ICPEICES), Delhi.
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Arora I. & Kaur, M. (2016). “Unit commitment scheduling by employing artificial neural network based load forecasting”, India International Conference on Power Electronics (IICPE), IEEE Conference Proceedings, pp. 1-6.
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Arora I. & Kaur, M. (2016). “Weather Sensitive Medium Term Load Forecasting Using Artificial Neural Network”, National Conference on Advanced Computational Methods in Electrical Engineering (ACMEE), IJERT.