Views：

Basic Information

AIEIE 2026 | 2026 53rd BARCELONA World Conference on AI, Energy & Industrial Engineering

Website: https://fenp.org/conference/348

Place

AIEIE-26, Spain

Conference Date

Jul 15 - Jul 17, 2026

Submission Deadline

Jan 25, 2026

Venue

Subjects: Computer Science and Technologies;

Sponsorship:

Indexing:

Short Description

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.

Contact

E-mail: conf@fenp.org

Tel:

Rank: ★★★★

Indexing

Online Proceedings:

Indexing Proof: View