International Journal of Renewable Energy Research (IJRER) (ISSN: 1309-0127)
PublisherIJRER
ISSN-L1309-0127
ISSN1309-0127
IF(Impact Factor)2024 Evaluation Pending
Description
The International Journal of Renewable Energy Research (IJRER) seeks to promote and disseminate knowledge of the various topics and technologies of renewable (green) energy resources. The journal aims to present to the international community important results of work in the fields of renewable energy research, development, application or design. The journal also aims to help researchers, scientists, manufacturers, institutions, world agencies, societies, etc. to keep up with new developments in theory and applications and to provide alternative energy solutions to current issues such as the greenhouse effect, sustainable and clean energy issues.The International Journal of Renewable Energy Research is a quarterly published journal and operates an online submission and peer review system allowing authors to submit articles online and track their progress via its web interface. The journal aims for a publication speed of 60 days from submission until final publication.
The coverage of IJRER includes the following areas, but not limited to:
Green (Renewable) Energy Sources and Systems (GESSs) as Wind power,Hydropower, Solar Energy, Biomass, Biofuel, Geothermal Energy, Wave Energy, Tidal energy, Hydrogen & Fuel Cells, Li-ion Batteries, Capacitors
New Trends and Technologies for GESSs
Policies and strategies for GESSs
Production of Energy Using Green Energy Sources
Applications for GESSs
Energy Transformation from Green Energy System to Grid
Novel Energy Conversion Studies for GESSs
Driving Circuits for Green Energy Systems
Control Techniques for Green Energy Systems
Grid Interactive Systems Used in Hybrid Green Energy Systems
Performance Analysis of Renewable Energy Systems
Hybrid GESSs
Renewable Energy Research and Applications for Industries
GESSs for Electrical Vehicles and Components
Artificial Intelligence Studies in Renewable Energy Systems
Computational Methods for GESSs
Machine Learning for Renewable Energy Applications
GESS Design
Energy Savings
Sustainable and Clean Energy Issues
Public Awareness and Education for Renewable Energy
Future Directions for GESSs
Last modified: 2014-03-12 22:29:20
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