Ministry of Education
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Dr Santhosh M

vidwan id: 178920
Male

Assistant Professor, Electrical and Electronics Engineering
Kakatiya Institute of Technology and Science

Orchid Icon 0000-0002-4106-7557 Google Scholar Icon 57202002803 Researcher Icon AAB-7457-2019 Google Scholar Icon A5F_kqgAAAAJ

Expertise

  • Electrical and Electronic Engineering

Publications

Total Articles 24
Books 0
Proceedings 0

Publications

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Scopus

Citations 635
h-index 10

CrossRef

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Citations 414
h-index 4
Google Scholar

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Professional Recognition

2018

Outstanding reviewer award-2018

Applied Soft Computing journal (Elsevier)

Community & Membership

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IEI

2020
Member

IEEE

2018
Member

Bio

Artificial Intelligence and Machine Learning Applications in Power Systems, Wind Speed and Wind Power Forecasting, Power System Control and Optimization with Renewable Energy, Blockchain Applications in Smart Grids

Personal Details

  • Male
  • Assistant Professor , Kakatiya Institute of Technology and Science
  • Kakatiya Institute of Technology and Science
PhD
Other Institute 2020
Assistant Professor Jul 2019 – Present
Kakatiya Institute of Technology and Science | Electrical and Electronics Engineering

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Co-Authors (9)

Venkaiah

Prof Venkaiah Chintham

National Institute of Technology Warangal

Venkataramana

Dr Venkataramana Veeramsetty

SR University

Gaurav

Dr Gaurav Singal

Netaji Subhas University of Technology

G Rakesh

Mr G Rakesh Yadav

Kakatiya Institute of Technology and Science

BANGARRAJU

Dr BANGARRAJU JAMPANA

Padmasri Dr. B.V Raju Institute of Technology

Rajasekharareddy

Dr Rajasekharareddy Chilipi

S.V. National Institute of Technology

Sabha Raj

Dr Sabha Raj Arya

S.V. National Institute of Technology

Vinod Kumar

Dr Vinod Kumar D M

SR University

Rajagopal

Prof Rajagopal Veramalla

Kakatiya Institute of Technology and Science

Scholarly Work

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Scholarly Publications

Hybrid wind speed prediction framework using data pre-processing strategy based autoencoder network

Open Access
Article
Electric Power Systems Research. Year: 2022. Volume: 206 .
Authors: Kosana V.;Teeparthi K.;Madasthu S.
DOI 10.1016/j.epsr.2022.107821
21

Hybrid convolutional Bi-LSTM autoencoder framework for short-term wind speed prediction

Open Access
Article
Year: 2022. Volume: 34 , Issue: 15 , Pages: 12653-12662 .
Authors: Kosana V.;Teeparthi K.;Madasthu S.
DOI 10.1007/s00521-022-07125-4
13

A novel and hybrid framework based on generative adversarial network and temporal convolutional approach for wind speed prediction

Open Access
Article
Sustainable Energy Technologies and Assessments. Year: 2022. Volume: 53 .
Authors: Kosana V.;Teeparthi K.;Madasthu S.
DOI 10.1016/j.seta.2022.102467
19

A novel dynamic selection approach using on-policy SARSA algorithm for accurate wind speed prediction

Open Access
Article
Electric Power Systems Research. Year: 2022. Volume: 212 .
Authors: Kosana V.;Santhosh M.;Teeparthi K.;Kumar S.
DOI 10.1016/j.epsr.2022.108174
4

Short-term electric power load forecasting using random forest and gated recurrent unit

Open Access
Article
Electrical Engineering. Year: 2022. Volume: 104 , Issue: 1 , Pages: 307-329 .
Authors: Veeramsetty V.;Reddy K.R.;Santhosh M.;Mohnot A.;Singal G.
DOI 10.1007/s00202-021-01376-5
43 72

A hybrid wind speed forecasting model using complete ensemble empirical decomposition with adaptive noise and convolutional support vector machine

Open Access
Conference Paper
Year: 2021.
Authors: Kosana V.;Teeparthi K.;Santhosh M.
DOI 10.1109/ICPS52420.2021.9670394
3

A novel hybrid framework for wind speed forecasting using autoencoder-based convolutional long short-term memory network

Open Access
Article
Year: 2021. Volume: 31 , Issue: 11 .
Authors: Kosana V.;Madasthu S.;Teeparthi K.
DOI 10.1002/2050-7038.13072
15

Wind speed prediction using hybrid long short-term memory neural network based approach

Open Access
Conference Paper
Year: 2021.
Authors: Yadav G.R.;Muneender E.;Santhosh M.
DOI 10.1109/SeFet48154.2021.9375644
4