laxmi srivastava

About

Laxmi Srivastava did her BE and PhD in Electrical Engineering from University of Roorkee (Presently IIT Roorkee) India and MTech in Electrical Engineering from IIT Kanpur, India. She joined Madhav Institute of Technology & Science Gwalior, India in1984 as a faculty member in the Department of Electrical Engineering and worked in various positions.
Besides, she also worked as Dean, Research and Extension, Dean Academic from Feb. 2011 to Nov. 2013 and and as Coordinator TEQIP-III. She is a Fellow of Institution of Engineers, IE(I), senior member of IEEE, life member of Indian Society for Technical Education (ISTE), Institution of Electronics & telecommunication Engineers (IETE), Computer Society of India (CSI) and Indian Women Scientist Association (IWSA).
Her research is motivated by ANN, Fuzzy logic and Evolutionary computing based techniques for power system security assessment, optimization, control, distributed generation FACTS controllers and power quality. She is recipient of Khosla Research Gold Medal for best research paper in the year 2000, from IIT Roorkee, India.
She has guided around 60 ME Dissertations, 08 PhD candidates. She has published more than 150 papers in peer-reviewed international journals and conference proceedings and 02 book chapters.
She has successfully completed several Research & Development projects funded by DST, UGC and AICTE, New Delhi, India and has been involved in conducting National Conferences, Seminars, Workshops and Faculty Development Programs.

Employment

• Madhav Institute of Technology and Science Professor & Head
  1984 - Present

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (188)

• Solution of optimal power flow problem using sine-cosine mutation based modified Jaya algorithm: a case study
  Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 2025 11 citations DOI: 10.1080/15567036.2021.1957043
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• Cascaded deep NN-based customer participation by considering renewable energy sources for congestion management in deregulated power markets
  IET Renewable Power Generation 2023 5 citations DOI: 10.1049/rpg2.12678
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• Multi-objective optimal sizing of hybrid micro-grid system using an integrated intelligent technique
  Energy 2023 57 citations DOI: 10.1016/j.energy.2023.126756
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• Optimal Sizing of Stand-Alone Hybrid Energy System Using Black Widow Optimization Technique
  2023 3 citations DOI: 10.1007/978-981-19-3951-8_26
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• Performance Evaluation of Sine Cosine Algorithm-Based Controllers for LFC in an Isolated Hydropower System Integrated with Energy Storage System
  2023 1 citation DOI: 10.1007/978-981-19-3951-8_64
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• Rao algorithm based optimal Multi‐term <scp>FOPID</scp> controller for automatic voltage regulator system
  Optimal Control Applications and Methods 2022 21 citations DOI: 10.1002/oca.2926
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• Application of grey wolf optimization algorithm for load frequency control in multi-source single area power system
  Evolutionary Intelligence 2022 91 citations DOI: 10.1007/s12065-020-00530-5
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• HYBRID DEEP NEURAL NETWORK BASED GENERATION RESCHEDULING FOR CONGESTION MITIGATION IN SPOT POWER MARKET
  TechRxiv 2022 0 citations DOI: 10.36227/techrxiv.19387325
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• Hybrid Deep Neural Network-Based Generation Rescheduling for Congestion Mitigation in Spot Power Market
  IEEE Access 2022 25 citations DOI: 10.1109/ACCESS.2022.3157846
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• Improved Binary Bat Algorithm for Optimally Placing Multiple DGs in RDN
  2022 IEEE 10th Power India International Conference, PIICON 2022 2022 2 citations DOI: 10.1109/PIICON56320.2022.10045239
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