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2020 – today
- 2024
[j2]Travis M. Newbolt
, Mckay Waite, Paras Mandal, Hongjie Wang, Regan Zane:
Load Demand Modeling of Large-Scale Charging Infrastructure for Electric Vehicles In-Motion. IEEE Access 12: 175550-175562 (2024)- 2023
- [c19]Oscar S. Acosta, Paras Mandal, Tomonobu Senjyu:
Offsetting Commercial Structure Electric Cooling Loads - Technical Analysis Using Grid Connected PV. IAS 2023: 1-14 - [c18]Antonio Avila, Paras Mandal:
Impact of Commercial EV Loads on the Power Grid. IAS 2023: 1-15 - [c17]Luis Garza, Paras Mandal:
Detection and Classification of False Data Injection Attacks in Power Grids Using Machine Learning and Hyperparameter Optimization Methods. IAS 2023: 1-8 - [c16]Nathan Lee, Paras Mandal:
Temporal Convolutional Network Ensemble for Day-Ahead and Week-Ahead Electricity Price Forecasting. IAS 2023: 1-7 - [c15]Sajedeh Darvishi Niafenderi, Paras Mandal:
Rolling and Day-Ahead Forecasting of Electricity Market Prices: Evaluating the Performance of DL Models with Bayesian Optimization. IAS 2023: 1-7 - [c14]Alisha Paudel, Armando Y. Montoya, Paras Mandal:
Short-Term and Rolling Solar PV Power Forecasts: Performance Evaluation and Hyperparameter Tuning of Deep Learning Models. IAS 2023: 1-7 - [c13]Giovanni Ponce, Paras Mandal, Eric Galvan:
Integration of Battery Energy Storage Dispatch Using Model Predictive Control for a Hybrid Microgrid Energy Management System. IAS 2023: 1-7 - [c12]Orlando Quezada Simental, Paras Mandal, Eric Galvan, Sukumar Kamalasadan:
Resilience Evaluation for Power Distribution Systems Impacted by Winter Storms. IAS 2023: 1-7 - [c11]Travis M. Newbolt, Paras Mandal, Hongjie Wang, Regan Zane:
Diverse Effects of Dynamic Wireless Power Transfer Roadway In-Motion Electric Vehicle Charging. ISGT 2023: 1-5 - 2021
- [c10]Valentina Cecchi, Courtney S. Smith-Orr, Forest Atchison, Sukumar Kamalasadan, Paras Mandal, Inez Lopez:
Assessing Student Perceptions of Emerging Concepts in Power & Energy Systems via Concept Maps: Rubric Development. FIE 2021: 1-4 - 2020
- [j1]Yuxin Wen, Donna AlHakeem, Paras Mandal, Shantanu Chakraborty, Yuan-Kang Wu, Tomonobu Senjyu, Sumit Paudyal, Tzu-Liang Tseng:
Performance Evaluation of Probabilistic Methods Based on Bootstrap and Quantile Regression to Quantify PV Power Point Forecast Uncertainty. IEEE Trans. Neural Networks Learn. Syst. 31(4): 1134-1144 (2020) - [c9]Tetsuya Yabiku, Makoto Sugimura, Ashraf M. Hemeida, Paras Mandal, Hiroshi Takahashi, Tomonobu Senjyu:
Optimal Operation Planning for Renewable Energy and CCHP in Smart City. TENCON 2020: 320-324
2010 – 2019
- 2019
- [c8]Harun Or Rashid Howlader, Homeyra Akter, Ahmed Yousuf Saber, Paras Mandal, Narayanan Krishna, Tomonobu Senjyu:
Independent Energy Storage Systems can Minimize Uncertainty of Profit for Retailers in ISO Market. EIT 2019: 584-589 - 2016
- [c7]T. Paul, Sudipta Ghosh, Sukumar Kamalasadan, Paras Mandal:
A quadratic programming based optimal power and battery dispatch for grid connected microgrid. IAS 2016: 1-8 - 2015
- [c6]Ramya M. Peri, Paras Mandal, Ashraf Ul Haque, Bill Tseng:
Very short-term prediction of wind farm power: An advanced hybrid intelligent approach. IAS 2015: 1-8 - 2012
- [c5]Ashraf Ul Haque, Paras Mandal, Julian Meng, Mary E. Kaye, Liuchen Chang:
A new strategy for wind speed forecasting using hybrid intelligent models. CCECE 2012: 1-4 - [c4]Ashraf Ul Haque, Paras Mandal, Julian Meng, Anurag K. Srivastava, Tzu-Liang (Bill) Tseng, Tomonobu Senjyu:
A novel hybrid approach based on wavelet transform and fuzzy ARTMAP network for predicting wind farm power production. IAS 2012: 1-8 - [c3]Ashraf Ul Haque, Paras Mandal, Julian Meng, Ricardo L. Pineda:
Performance Evaluation of Different Optimization Algorithms for Power Demand Forecasting Applications in a Smart Grid Environment. Complex Adaptive Systems 2012: 320-325 - [c2]Paras Mandal, Surya Teja Swarroop Madhira, Ashraf Ul Haque, Julian Meng, Ricardo L. Pineda:
Forecasting Power Output of Solar Photovoltaic System Using Wavelet Transform and Artificial Intelligence Techniques. Complex Adaptive Systems 2012: 332-337
2000 – 2009
- 2008
- [c1]Paras Mandal, Anurag K. Srivastava, Michael Negnevitsky, Jung-Wook Park:
An Effort to Optimize Similar Days Parameters for ANN Based Electricity Price Forecasting. IAS 2008: 1-9
Coauthor Index
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