Hybrid Conferencee

International Conference on Data Science for Renewable Energy Forecasting (ICDSREF - 26)

16th - 17th September 2026 | Jerez de la Frontera, Spain

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Jerez de la Frontera. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Jerez de la Frontera event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Jerez de la Frontera conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Jerez de la Frontera, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Jerez de la Frontera."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 7
SDG 7 Affordable and Clean Energy
SDG 9
SDG 9 Industry, Innovation and Infrastructure
SDG 11
SDG 11 Sustainable Cities and Communities
Track 01

Predictive Modeling Techniques in Renewable Energy

This track focuses on advanced predictive modeling techniques applicable to renewable energy forecasting. It will explore methodologies such as supervised and unsupervised learning to enhance prediction accuracy.

Track 02

Deep Learning Applications in Energy Forecasting

This session will delve into the use of deep learning algorithms for forecasting renewable energy outputs. Participants will discuss case studies and innovative approaches that leverage neural networks for improved forecasting.

Track 03

Anomaly Detection in Renewable Energy Systems

This track aims to address the challenges of anomaly detection within renewable energy systems. It will cover techniques for identifying irregular patterns in energy consumption and generation data.

Track 04

Feature Extraction for Energy Data Analytics

This session will focus on the importance of feature extraction in the context of energy data analytics. Participants will share methodologies for deriving meaningful features from complex datasets to enhance model performance.

Track 05

Time Series Forecasting in Renewable Energy

This track will explore time series forecasting methods specifically tailored for renewable energy applications. Discussions will include traditional and modern approaches to predicting energy generation and consumption.

Track 06

IoT and Data Analysis in Smart Grids

This session will examine the role of IoT in data analysis for smart grid applications. It will highlight how IoT-generated data can be utilized for optimizing energy distribution and consumption.

Track 07

Predictive Maintenance in Renewable Energy Systems

This track will focus on predictive maintenance strategies for renewable energy systems. Participants will discuss how data science can be leveraged to enhance system reliability and reduce downtime.

Track 08

Machine Learning Techniques for Grid Optimization

This session will explore machine learning techniques aimed at optimizing grid operations. It will cover algorithms that enhance grid efficiency and reliability through data-driven insights.

Track 09

Real-Time Monitoring of Renewable Energy Systems

This track will address the advancements in real-time monitoring technologies for renewable energy systems. Discussions will include the integration of data analytics for timely decision-making.

Track 10

Model Evaluation and Validation in Energy Forecasting

This session will focus on the methodologies for evaluating and validating predictive models in energy forecasting. Participants will share best practices and metrics for assessing model performance.

Track 11

Renewable Energy Analytics: Trends and Innovations

This track will highlight the latest trends and innovations in renewable energy analytics. Participants will discuss emerging technologies and their implications for the future of energy forecasting.