| S.No. | Paper ID | Paper Title & Authors | Pages | Paper |
|---|---|---|---|---|
| 1 | IJTMSR260903001 |
Random Forest-Based Smart Load Sharing Control for a Hybrid Solar-Wind Renewable Energy System with Battery Storage
|
001-007 | Download |
| 2 | IJTMSR260903002 |
An AI-Based Hybrid Energy Management System for Solar and Electric Vehicle Loads Using Reinforcement Learning
|
008-014 | Download |
| 3 | IJTMSR260903003 |
A Smart Solar-Powered EV Charging Station with LSTM-Based Demand Forecasting and Real-Time Data Analytics
|
015-023 | Download |
| 4 | IJTMSR260903004 |
Detection of Hypocrisy in Credit Cards Using Machine Learning Algorithms and Smote Technique
|
024-029 | Download |
| 5 | IJTMSR260903005 |
Development of real - time power quality monitoring and analysis system using IoT and big data analytics
|
030-037 | Download |
| 6 | IJTMSR260903006 |
AI-Based Solar PV Output Forecasting and Smart EV Charging Optimization Using Linear Regression, Random Forest, and LSTMs
|
038-046 | Download |
| 7 | IJTMSR260903007 |
An ML/DL Based dual Stage Stacked Ensemble Model for Accurate Heart Disease Prediction
|
047-054 | Download |
| 8 | IJTMSR260903008 |
Design and Optimization of Solar-Powered EV Charging Stations with Intelligent Energy Management
|
055-060 | Download |
| 9 | IJTMSR260903009 |
Modeling and Hardware Validation of Fast Charging Strategies for EV Batteries Using Electrochemical and Data-Driven Techniques
|
061-066 | Download |
| 10 | IJTMSR260903010 |
AI-Based Solar Power Forecasting Using Machine Learning Techniques
|
067-074 | Download |
| 11 | IJTMSR260903011 |
An Intelligent Python-Based Energy Distribution Framework for Optimizing Solar-EV Charging Allocation Using Linear Programming
|
075-081 | Download |
| 12 | IJTMSR260903012 |
MACHINE LEARNING APPROACH IN DESIGNING SMARTER BIOFUEL SUPPLY CHAIN NETWORK
|
082-088 | Download |
| 13 | IJTMSR260903013 |
AI-Based Prediction and Optimization of Electric Vehicle Charging Demand Integrated with Solar Power Generation
|
089-096 | Download |
INTERNATIONAL JOURNAL OF INNOVATIVE TRENDS IN
MULTIDISCIPLINARY SCIENTIFIC RESEARCH (IJTMSR)
International Peer Reviewed & Refereed Journal, Open Access Journal
IJTMSR Peer-Reviewed (Refereed) Journal
as Per New UGC Rules.
ISSN Approved Journal No: E-ISSN 3139-2687
Monthly Peer-Reviewed, Refereed & Open Access Journal
ISSN Approved Journal No: E-ISSN 3139-2687
Monthly Peer-Reviewed, Refereed & Open Access Journal
Read all new guidelines related publication before submission or publication.
Open access, Peer-reviewed and Refereed, Multidisciplinary, Monthly Publication, Engineering, Science & Technology Research.
Impact Factor: 6.91,Digital Object Identifier(DOI), UGC Approved Journal No: 48103(18).