Paras Mandal

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 15

Top Topics

Quadratic Programming

Predictive Control

Injection Attacks

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Oscar S. Acosta, Paras Mandal, Tomonobu Senjyu
Offsetting Commercial Structure Electric Cooling Loads - Technical Analysis Using Grid Connected PV. IAS (2023)
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)
Luis Garza, Paras Mandal
Detection and Classification of False Data Injection Attacks in Power Grids Using Machine Learning and Hyperparameter Optimization Methods. IAS (2023)
Orlando Quezada Simental, Paras Mandal, Eric Galvan, Sukumar Kamalasadan
Resilience Evaluation for Power Distribution Systems Impacted by Winter Storms. IAS (2023)
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)
Travis M. Newbolt, Paras Mandal, Hongjie Wang, Regan Zane
Diverse Effects of Dynamic Wireless Power Transfer Roadway In-Motion Electric Vehicle Charging. ISGT (2023)
Nathan Lee, Paras Mandal
Temporal Convolutional Network Ensemble for Day-Ahead and Week-Ahead Electricity Price Forecasting. IAS (2023)
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)
Antonio Avila, Paras Mandal
Impact of Commercial EV Loads on the Power Grid. IAS (2023)
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)
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) (2020)
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)
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)
T. Paul, Sudipta Ghosh, Sukumar Kamalasadan, Paras Mandal
A quadratic programming based optimal power and battery dispatch for grid connected microgrid. IAS (2016)
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)
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)
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)
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)
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)
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)