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Engineering and Technology

D-Index
37
Citations
5993
World Ranking
8351
National Ranking
2315

Overview

Paras Mandal is affiliated with The University of Texas at El Paso in the United States. Their research primarily focuses on engineering, with a specialization in electrical and electronic engineering, control and systems engineering, automotive engineering, renewable energy, sustainability, and artificial intelligence.

Their work encompasses several main topics, including smart grid energy management, microgrid control and optimization, electric vehicles and infrastructure, optimal power flow distribution, advanced battery technologies research, energy harvesting in wireless networks, and wireless power transfer systems.

Paras Mandal has published extensively in various scientific venues. Frequent publication venues include:

  • International Journal of Electrical Power & Energy Systems
  • 2022 North American Power Symposium (NAPS)
  • SSRN Electronic Journal
  • Energies
  • 2022 IEEE Power & Energy Society General Meeting (PESGM)

The scientist collaborates regularly with multiple co-authors. Frequent co-authors include:

  • Tomonobu Senjyu (22 publications)
  • Hiroshi Takahashi (7 publications)
  • Eric Galvan (5 publications)
  • Travis Newbolt (5 publications)
  • Hongjie Wang (5 publications)

Representative recent papers authored or co-authored by Paras Mandal demonstrate a focus on energy systems resilience, optimization, and management within renewable and electric vehicle integrated power grids. These papers include:

  • "Networked microgrids with roof-top solar PV and battery energy storage to improve distribution grids resilience to natural disasters," 2020, International Journal of Electrical Power & Energy Systems
  • "Optimum coordination of centralized and distributed renewable power generation incorporating battery storage system into the electric distribution network," 2020, International Journal of Electrical Power & Energy Systems
  • "Multi-objective optimization of campus microgrid system considering electric vehicle charging load integrated to power grid," 2023, Sustainable Cities and Society
  • "A coherent strategy for peak load shaving using energy storage systems," 2020, Journal of Energy Storage
  • "Energy Management System Optimization of Drug Store Electric Vehicles Charging Station Operation," 2021, Sustainability

Best Publications

  • A review of wind power and wind speed forecasting methods with different time horizons

    Saurabh S. Soman;Hamidreza Zareipour;Om Malik;Paras Mandal

  • Demand response for sustainable energy systems: A review, application and implementation strategy

    Farshid Shariatzadeh;Paras Mandal;Anurag K. Srivastava

  • A Novel Approach to Forecast Electricity Price for PJM Using Neural Network and Similar Days Method

    P. Mandal;T. Senjyu;N. Urasaki;T. Funabashi

  • Neural networks approach to forecast several hour ahead electricity prices and loads in deregulated market

    Paras Mandal;Tomonobu Senjyu;Toshihisa Funabashi

  • A neural network based several-hour-ahead electric load forecasting using similar days approach

    Paras Mandal;Tomonobu Senjyu;Naomitsu Urasaki;Toshihisa Funabashi

  • A Hybrid Intelligent Model for Deterministic and Quantile Regression Approach for Probabilistic Wind Power Forecasting

    Ashraf Ul Haque;M. Hashem Nehrir;Paras Mandal

  • Forecasting Power Output of Solar Photovoltaic System Using Wavelet Transform and Artificial Intelligence Techniques

    Paras Mandal;Surya Teja Swarroop Madhira;Ashraf Ul haque;Julian Meng

  • Next day load curve forecasting using hybrid correction method

    T. Senjyu;P. Mandal;K. Uezato;T. Funabashi

  • Networked microgrids with roof-top solar PV and battery energy storage to improve distribution grids resilience to natural disasters

    Eric Galvan;Paras Mandal;Yuanrui Sang

  • A novel hybrid approach using wavelet, firefly algorithm, and fuzzy ARTMAP for day-ahead electricity price forecasting

    Paras Mandal;A. U. Haque;Julian Meng;A. K. Srivastava

  • Grid-Connected Wind Power Plants: A Survey on the Integration Requirements in Modern Grid Codes

    Unknown

  • Performance Evaluation of Probabilistic Methods Based on Bootstrap and Quantile Regression to Quantify PV Power Point Forecast Uncertainty

    Yuxin Wen;Donna AlHakeem;Paras Mandal;Shantanu Chakraborty

  • A new strategy for predicting short-term wind speed using soft computing models

    Ashraf U. Haque;Paras Mandal;Mary E. Kaye;Julian Meng

  • Next day load curve forecasting using recurrent neural network structure

    T. Senjyu;P. Mandal;K. Uezato;T. Funabashi

  • Optimum coordination of centralized and distributed renewable power generation incorporating battery storage system into the electric distribution network

    Mikaeel Ahmadi;Oludamilare Bode Adewuyi;Mir Sayed Shah Danish;Paras Mandal

  • Machine Learning Applications for Load, Price and Wind Power Prediction in Power Systems

    Michael Negnevitsky;Paras Mandal;Anurag K. Srivastava

  • Multi-objective optimization of campus microgrid system considering electric vehicle charging load integrated to power grid

    Unknown

  • A Recap of Voltage Stability Indices in the Past Three Decades

    Mir Sayed Shah Danish;Tomonobu Senjyu;Sayed Mir Shah Danish;Najib Rahman Sabory

  • An overview of forecasting problems and techniques in power systems

    Michael Negnevitsky;Paras Mandal;Anurag K. Srivastava

  • Several-hours-ahead electricity price and load forecasting using neural networks

    P. Mandal;T. Senjyu;K. Uezato;T. Funabashi

  • A coherent strategy for peak load shaving using energy storage systems

    Sayed Mir Shah Danish;Mikaeel Ahmadi;Mir Sayed Shah Danish;Paras Mandal

  • Forecasting aggregated wind power production of multiple wind farms using hybrid wavelet-PSO-NNs

    Paras Mandal;Hamidreza Zareipour;William D. Rosehart

  • Grid-Connected Wind Power Plants: A Survey on the Integration Requirements in Modern Grid Codes

    Yuan Kang Wu;Shih-Ming Chang;Paras Mandal

Frequent Co-Authors

Tomonobu Senjyu
Tomonobu Senjyu University of the Ryukyus
Anurag K. Srivastava
Anurag K. Srivastava West Virginia University
Toshihisa Funabashi
Toshihisa Funabashi University of the Ryukyus
Atsushi Yona
Atsushi Yona University of the Ryukyus
Michael Negnevitsky
Michael Negnevitsky University of Tasmania
Naomitsu Urasaki
Naomitsu Urasaki University of the Ryukyus
Katsumi Uezato
Katsumi Uezato University of the Ryukyus
Chul-Hwan Kim
Chul-Hwan Kim Sungkyunkwan University
Jung-Wook Park
Jung-Wook Park Yonsei University
Liuchen Chang
Liuchen Chang University of New Brunswick

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