Paras Mandal
Orcid: 0000-0002-2139-1835
According to our database1,
Paras Mandal
authored at least 21 papers
between 2008 and 2024.
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Bibliography
2024
Load Demand Modeling of Large-Scale Charging Infrastructure for Electric Vehicles In-Motion.
IEEE Access, 2024
2023
Diverse Effects of Dynamic Wireless Power Transfer Roadway In-Motion Electric Vehicle Charging.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2023
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2023
Integration of Battery Energy Storage Dispatch Using Model Predictive Control for a Hybrid Microgrid Energy Management System.
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2023
Short-Term and Rolling Solar PV Power Forecasts: Performance Evaluation and Hyperparameter Tuning of Deep Learning Models.
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2023
Rolling and Day-Ahead Forecasting of Electricity Market Prices: Evaluating the Performance of DL Models with Bayesian Optimization.
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2023
Temporal Convolutional Network Ensemble for Day-Ahead and Week-Ahead Electricity Price Forecasting.
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2023
Detection and Classification of False Data Injection Attacks in Power Grids Using Machine Learning and Hyperparameter Optimization Methods.
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2023
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2023
Offsetting Commercial Structure Electric Cooling Loads - Technical Analysis Using Grid Connected PV.
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2023
2021
Assessing Student Perceptions of Emerging Concepts in Power & Energy Systems via Concept Maps: Rubric Development.
Proceedings of the IEEE Frontiers in Education Conference, 2021
2020
Performance Evaluation of Probabilistic Methods Based on Bootstrap and Quantile Regression to Quantify PV Power Point Forecast Uncertainty.
IEEE Trans. Neural Networks Learn. Syst., 2020
Proceedings of the 2020 IEEE Region 10 Conference, 2020
2019
Independent Energy Storage Systems can Minimize Uncertainty of Profit for Retailers in ISO Market.
Proceedings of the 2019 IEEE International Conference on Electro Information Technology, 2019
2016
A quadratic programming based optimal power and battery dispatch for grid connected microgrid.
Proceedings of the 2016 IEEE Industry Applications Society Annual Meeting, 2016
2015
Very short-term prediction of wind farm power: An advanced hybrid intelligent approach.
Proceedings of the 2015 IEEE Industry Applications Society Annual Meeting, 2015
2012
Forecasting Power Output of Solar Photovoltaic System Using Wavelet Transform and Artificial Intelligence Techniques.
Proceedings of the Complex Adaptive Systems 2012 Conference, 2012
Performance Evaluation of Different Optimization Algorithms for Power Demand Forecasting Applications in a Smart Grid Environment.
Proceedings of the Complex Adaptive Systems 2012 Conference, 2012
A novel hybrid approach based on wavelet transform and fuzzy ARTMAP network for predicting wind farm power production.
Proceedings of the Annual Meeting of the IEEE Industry Applications Society, 2012
Proceedings of the 25th IEEE Canadian Conference on Electrical and Computer Engineering, 2012
2008
An Effort to Optimize Similar Days Parameters for ANN Based Electricity Price Forecasting.
Proceedings of the Industry Applications Society Annual Meeting, 2008