SCOPUS
Journal of Renewable Energy and Smart Grid Technology
Naresuan University, Thailand
Journal of Renewable Energy and Smart Grid Technology is an academic journal published by Naresuan University (Thailand). Identifiers: eISSN 2630-0036. Indexed in SCOPUS. Metrics: CiteScore 0.3, SJR 0.138, SNIP 0.14. tlooto lists 77 papers from this journal.
CiteScore
0.30
Scopus citation metric
SJR
0.138
SCImago rank
SNIP
0.14
Source normalized impact
Percentage rank
-
JIF percentile rank
Journal profile
- ISSN
- -
- eISSN
- 2630-0036
- Abbreviation
- -
- Publisher
- Naresuan University
- Country
- Thailand
Web of Science categories
No Web of Science category data available.
Scopus ASJC categories
2105 Renewable Energy2201 Engineering (miscellaneous)2208 Electrical and Electronic Engineering2306 Global and Planetary Change
Papers in this journal
Recent papers
- Design and Fabrication of Hybrid Operational Modes Magnetorheological Mount
2026
- An Experimental Investigation of Organic Rankine Cycle with Scroll Expander for Low-Temperature Heat Sources
2026
- Life Cycle Assessment of Biodiesel Production from Dipterocarpus alatus Oleoresin Using Potassium-Loaded Zeolite Y Catalyst Derived from Rice Husk Silica
2026
- Performance Evaluation of Monthly Electricity Demand Forecasting in Thailand Using Machine Learning and Statistical Models
2026
- A Review of Machine Learning Models and Evaluation Techniques for Single String Anomaly Detection in Malaysian Large-Scale Photovoltaic Systems
2026
Most cited papers
- Recognition of Multiple Power Quality Disturbances Based on Discrete Wavelet Transform and Improved Long Short-Term Memory Networks
2024 · 10 citations
- Forecasting Energy Consumption from EV Station Charging Using RNN, LSTM and GRU Neural Network
2024 · 7 citations
- Cell Temperature Determination based on IEC61215: Solar Photovoltaic Experimental Study of Tropical Malaysia
2024 · 5 citations
- Development of a Long-Range IoT Air Quality Monitoring System Using LoRa Mesh Repeaters for Real-Time Pollution Tracking
2024 · 5 citations
- Selecting the Best Regression Model for Wind Power Prediction and Management for VPP
2025 · 5 citations