The International Research Conference Aims and Objectives
The International Research Conference is a federated organization dedicated to bringing together a significant number of diverse scholarly events for presentation
within the conference program. Events will run over a span of time during the conference depending on the number and length of the presentations.
With its high quality, it provides an exceptional value for students, academics and industry researchers.
International Conference on Data Science and Machine Learning for Renewable Energy
aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of
Data Science and Machine Learning for Renewable Energy.
It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations,
trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Data Science and Machine Learning for Renewable Energy.
Call for Contributions
Prospective authors are kindly encouraged to contribute to and help shape the conference through submissions of their research abstracts, papers and e-posters.
Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or
theoretical work in all areas of Data Science and Machine Learning for Renewable Energy are cordially invited for presentation at the conference.
The conference solicits contributions of abstracts, papers and e-posters that address themes and topics of the conference, including figures, tables and references of
novel research materials.
Guidelines for Authors
Please ensure your submission meets the conference's strict guidelines for accepting scholarly papers.
Downloadable versions of the check list for
Full-Text Papers and
Abstract Papers.
Please refer to the
Paper Submission Guideline,
Abstract Submission Guideline and
Author Information
before submitting your paper.
Conference Proceedings
All submitted conference papers will be blind peer reviewed by three competent reviewers.
The peer-reviewed conference proceedings are indexed in the Open Science Index,
Google Scholar,
Semantic Scholar,
Zenedo,
BASE,
WorldCAT,
Sherpa/RoMEO,
and other index databases. Impact Factor Indicators.
Special Journal Issues
19. International Conference on Data Science and Machine Learning for Renewable Energy has teamed up with the Special Journal Issue on
Data Science and Machine Learning for Renewable Energy.
A number of selected high-impact full text papers will also be considered for the special journal issues.
All submitted papers will have the opportunity to be considered for this Special Journal Issue.
The paper selection will be carried out during the peer review process as well as at the conference presentation stage.
Submitted papers must not be under consideration by any other journal or publication.
The final decision for paper selection will be made based on peer review reports by the Guest Editors and the Editor-in-Chief jointly.
Selected full-text papers will be published online free of charge.
Conference Sponsor and Exhibitor Opportunities
The Conference offers the opportunity to become a conference sponsor or exhibitor.
To participate as a sponsor or exhibitor, please download and complete the
Conference Sponsorship Request Form.
Selected Papers
-
A Study on the Power Control of Wind Energy Conversion System
Mehdi Nafar, Mohammad Reza Mansouri
-
Strategies to Achieve Deep Decarbonization in Power Generation: A Review
Abdullah Alotaiq
-
An Empirical Investigation of Big Data Analytics: The Financial Performance of Users versus Vendors
Evisa Mitrou, Nicholas Tsitsianis, Supriya Shinde
-
Supervisory Controller with Three-State Energy Saving Mode for Induction Motor in Fluid Transportation
O. S. Ebrahim, K. O. Shawky, M. O. Ebrahim, P. K. Jain
-
Data-Driven Decision-Making in Digital Entrepreneurship
Abeba Nigussie Turi, Xiangming Samuel Li
-
Future of Electric Power Generation Technologies: Environmental and Economic Comparison
Abdulrahman A. Bahaddad, Mohammed Beshir
-
Analysing the Renewable Energy Integration Paradigm in the Post-COVID-19 Era: An Examination of the Upcoming Energy Law of China
Lan Wu
-
Experimental Demonstration of an Ultra-Low Power Vertical-Cavity Surface-Emitting Laser for Optical Power Generation
S. Nazhan, Hassan K. Al-Musawi, Khalid A. Humood
-
Voltage Sag Characteristics during Symmetrical and Asymmetrical Faults
Ioannis Binas, Marios Moschakis
-
Technical and Economic Analysis of Smart Micro-Grid Renewable Energy Systems: An Applicable Case Study
M. A. Fouad, M. A. Badr, Z. S. Abd El-Rehim, Taher Halawa, Mahmoud Bayoumi, M. M. Ibrahim
-
Validation of Solar PV Inverter Harmonics Behaviour at Different Power Levels in a Test Network
Wilfred Fritz
-
A Neural Network Control for Voltage Balancing in Three-Phase Electric Power System
Dana M. Ragab, Jasim A. Ghaeb
-
Evaluation of Energy Upgrade Measures and Connection of Renewable Energy Sources Using Software Tools: Case Study of an Academic Library Building in Larissa, Greece
Giwrgos S. Gkarmpounis, Aikaterini G. Rokkou, Marios N. Moschakis
-
A Linear Relation for Voltage Unbalance Factor Evaluation in Three-Phase Electrical Power System Using Space Vector
Dana M. Ragab, Jasim A Ghaeb
-
Automatic Adjustment of Thresholds via Closed-Loop Feedback Mechanism for Solder Paste Inspection
Chia-Chen Wei, Pack Hsieh, Jeffrey Chen
Digital Program consists of the e-proceedings book which is available online-only
and includes the conference communications (proceedings abstracts and papers).
Registered participants can access the digitally available conference
proceedings ( and certificates ) by visiting their profile pages.
Data analytics for renewable energy integration
Data analytics for renewable energy sources
Smart grid applications of data analytics
Data analytics for power generation, transmission, and distribution
SCADA/DCS data analytics
Fault detection, classification, location, and diagnosis
Power quality detection
Power system state estimation
Load forecasting, wind power forecasting, and PV power forecasting
Islanding detection
Demand response
Smart grid cyber security
Customer profiling and smart billing
Parallel and distributed data analytics for renewable energy integration
Big data and cloud-based analytics for renewable energy integration
Abstracts/Full-Text Paper Submission Deadline |
|
January 15, 2025 |
Notification of Acceptance/Rejection |
|
January 31, 2025 |
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline |
|
March 22, 2025 |
Conference Dates |
|
April 17-18, 2025 |