Call For Papers - The World's Largest Index/List of Call For Papers

The World's Largest Index of Call For Papers

53rd BARCELONA World Conference on AI, Energy & Industrial Engineering (AIEIE-26) July 15-17, 2026 Barcelona (Spain)

AIEIE-26

URL: https://fenp.org/conference/348
Event Date: 2026-07-15 ~ 2026-07-17
Submission Date: 2026-07-01
Organizer: FENP
Location: Barcelona, Spain

Materials Engineering Engineering & Computer Science (General)

Call for papers/Topics

Topics of interest for submission include any topics related to:

1. Core Independent Domains

Before looking at the intersections, these are the fundamental pillars of each field.

Artificial Intelligence: Machine Learning (Supervised/Unsupervised), Deep Learning, Reinforcement Learning, Natural Language Processing (NLP), and Computer Vision.

Energy Engineering: Thermodynamics, Power Systems, Renewable Energy (Solar, Wind, Hydro), Grid Stability, and Energy Storage (Batteries, Thermal).

Industrial Engineering: Operations Research, Supply Chain Management, Ergonomics, Quality Control (Six Sigma), and Facilities Planning.

2. Interrelated Topics: AI & Energy

This intersection focuses on making energy systems "smarter" and more resilient.

Smart Grid Management: * Demand response forecasting using Neural Networks.
- Automated load balancing and frequency control.

Renewable Energy Forecasting: * Predictive modeling for solar irradiance and wind speed to reduce curtailment.

Virtual Power Plants (VPPs): * AI-driven orchestration of distributed energy resources (DERs).

Energy Storage Optimization: * AI algorithms to manage battery charge/discharge cycles to maximize lifespan and ROI.

3. Interrelated Topics: AI & Industrial Engineering

This intersection, often called Industry 4.0, focuses on efficiency and automation in production.

Predictive Maintenance: * Using sensor data (IoT) and AI to predict equipment failure before it occurs.

Autonomous Robotics: * Computer vision and path-planning for AGVs (Automated Guided Vehicles) in warehouses.

Quality 4.0: * Automated visual inspection using Deep Learning to detect micro-defects in manufacturing.

Intelligent Supply Chains: * AI for inventory optimization and dynamic routing under uncertainty.

4. The "Triple Intersection": AI + Energy + Industrial

These topics represent the cutting edge, where all three fields converge to solve complex global challenges.

Sustainable Smart Manufacturing

Energy-Aware Scheduling: Integrating industrial production schedules with energy market prices to minimize costs and carbon footprint.

Digital Twins: Creating virtual replicas of factories that simulate both mechanical performance (Industrial) and energy consumption (Energy) using real-time data (AI).

Industrial Decarbonization

Carbon Accounting Automation: Using AI to track and optimize Scope 1, 2, and 3 emissions across industrial supply chains.

Waste Heat Recovery Optimization: Using Machine Learning to identify patterns in thermal waste and redirecting that energy back into the industrial process.

Circular Economy Systems

Automated Disassembly & Sorting: AI-driven robotics for recycling industrial components, reducing the energy required to process raw materials.

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