Nimal Madhu M

Nimal Madhu M

Asian Institute of Technology

H-index: 9

Asia-Thailand

About Nimal Madhu M

Nimal Madhu M, With an exceptional h-index of 9 and a recent h-index of 8 (since 2020), a distinguished researcher at Asian Institute of Technology, specializes in the field of AI Applications in Power & Energy Systems, Stock Market Analysis using DL and Hybrid Approaches.

His recent articles reflect a diverse array of research interests and contributions to the field:

Compressive Sensing and Orthogonal Matching Pursuit-Based Approach for Image Compression and Reconstruction

Mode decomposition-based short-term multi-step hybrid solar forecasting model for microgrid applications

Deep Learning-Based Time Series Forecasting for CO2 Emission

Forecasting Intraday Stock Price Using Attention Mechanism and Variational Mode Decomposition

Robust Feature Extraction Technique for Hand Gesture Recognition System

Deep Learning with Attention Mechanism for Cryptocurrency Price Forecasting

Short term multi-steps wind speed forecasting for carbon neutral microgrid by decomposition based hybrid model

Movie Recommender System: Addressing Scalability and Cold Start Problems

Nimal Madhu M Information

University

Position

Thailand

Citations(all)

361

Citations(since 2020)

302

Cited By

136

hIndex(all)

9

hIndex(since 2020)

8

i10Index(all)

9

i10Index(since 2020)

8

Email

University Profile Page

Asian Institute of Technology

Google Scholar

View Google Scholar Profile

Nimal Madhu M Skills & Research Interests

AI Applications in Power & Energy Systems

Stock Market Analysis using DL and Hybrid Approaches

Top articles of Nimal Madhu M

Title

Journal

Author(s)

Publication Date

Compressive Sensing and Orthogonal Matching Pursuit-Based Approach for Image Compression and Reconstruction

Sai Sylesh Gupta Namburu

Nandu Vasudevan

Vudhya Muni Sai Karthik

M Nimal Madhu

V Hareesh

2023/4/27

Mode decomposition-based short-term multi-step hybrid solar forecasting model for microgrid applications

Electrical Engineering

Joyashree Roy Firuz Ahamed Nahid

Weerakorn Ongsakul

Nimal Madhu Manjiparambil

Jai Govind Singh

2023/12/15

Deep Learning-Based Time Series Forecasting for CO2 Emission

Abhishek Anilkumar

V Yadukrishnan

M Nimal Madhu

V Hareesh

B Premjith

2023/4/27

Forecasting Intraday Stock Price Using Attention Mechanism and Variational Mode Decomposition

R Arul Goutham

B Premjith

M Nimal Madhu

EA Gopalakrishnan

2023/5/27

Robust Feature Extraction Technique for Hand Gesture Recognition System

V Yadukrishnan

Abhishek Anilkumar

KS Arun

M Nimal Madhu

V Hareesh

2023/4/27

Deep Learning with Attention Mechanism for Cryptocurrency Price Forecasting

V Yazhini

M Nimal Madhu

B Premjith

EA Gopalakrishnan

2023/5/27

Short term multi-steps wind speed forecasting for carbon neutral microgrid by decomposition based hybrid model

Energy for Sustainable Development

Firuz Ahamed Nahid

Weerakorn Ongsakul

Nimal Madhu Manjiparambil

2023/4/1

Movie Recommender System: Addressing Scalability and Cold Start Problems

Pradeesh Prem Kumar

Nitish U

Hareesh V

2023/4/27

Glaucoma Detection Using CNN and Study on Class Imbalance Problem

Pradeesh Prem Kumar

VV Variyar

2023

Theories of Finance for Generation Portfolio Optimization

Arjun C. Unni

Weerakorn Ongsakul

Nimal Madhu M.

2022

Fuzzy incorporated Black–Litterman model for renewable energy portfolio optimization

Electrical Engineering

Arjun C. Unni

Weerakorn Ongsakul

Nimal Madhu M.

2022

Risk-Calibrated conventional-renewable generation mix using master-slave portfolio approach guided by flexible investor preferencing

Energy

M Jisma

Vivek Mohan

Mini Shaji Thomas

2022/4/15

Optimal techno-economic feasibility study of net-zero carbon emission microgrid integrating second-life battery energy storage system

Energy Conversion and Management

Ankit Bhatt

Weerakorn Ongsakul

2022/8/15

Modeling and analysis of an islanded hybrid microgrid for remote off-grid communities

Shubham Tiwari

M Nimal Madhu

Weerakorn Ongsakul

Jai Govind Singh

2022/1/1

Optimal power flow incorporating renewable uncertainty related opportunity costs

Computational Intelligence

Titipong Samakpong

Weerakorn Ongsakul

Nimal Madhu Manjiparambil

2022/6

A slack-bus-independent loss sensitivity approach for optimal day-ahead generation scheduling

Electrical Engineering

Nguyen Huy Phuoc

Weerakorn Ongsakul

Nimal Madhu Manjiparambil

Nikhil Sasidharan

2022/4

Sliding window approach with first-order differencing for very short-term solar irradiance forecasting using deep learning models

Sustainable Energy Technologies and Assessments

Ankit Bhatt

Weerakorn Ongsakul

Nimal Madhu

Jai Govind Singh

2022/3/1

Hybrid Neural Networks for Renewable Energy Forecasting: Solar and Wind Energy Forecasting Using LSTM and RNN

Firuz Ahamed Nahid

Weerakorn Ongsakul

Nimal Madhu M

Tanawat Laopaiboon

2021

Transmission Risk Optimization in Interconnected Systems: Risk-Adjusted Available Transfer Capability

Weerakorn Ongsakul Nimal Madhu

Jai Govind Singh

Vivek Mohan

2021

Machine learning approach to predict the second-life capacity of discarded EV batteries for microgrid applications

Ankit Bhatt

Weerakorn Ongsakul

Nimal Madhu

2021

See List of Professors in Nimal Madhu M University(Asian Institute of Technology)

Co-Authors

H-index: 11
Vivek Mohan

Vivek Mohan

National Institute of Technology, Tiruchirappalli

H-index: 6
Dr. Ankit Bhatt

Dr. Ankit Bhatt

Asian Institute of Technology

H-index: 5
Shubham Tiwari

Shubham Tiwari

Asian Institute of Technology

H-index: 5
Jisma M

Jisma M

National Institute of Technology, Tiruchirappalli

H-index: 4
Arjun C Unni

Arjun C Unni

Asian Institute of Technology

H-index: 1
Kaung Si Thu

Kaung Si Thu

Asian Institute of Technology

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