Hybrid Conferencee

International Conference on AI and IoT in Energy Engineering (ICAIIEE - 26)

13th - 14th June 2026 | Boston, USA
Sample Abstract
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Conference Brochure
Sample Full Paper
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Conference Notifications:

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Boston. 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 Boston 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 Boston conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Boston, 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 Boston."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICAIIEE aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.

The conference highlights advancements in Energy, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
AI applications in energy management
02
IoT technologies for smart grids
03
Energy efficiency through machine learning
04
Predictive analytics in energy systems
05
Blockchain for energy trading solutions
06
Smart sensors for energy monitoring
07
Data-driven decision making in energy
08
Cybersecurity in IoT energy systems
09
Renewable energy integration with AI
10
Real-time energy consumption analytics
11
Edge computing in energy applications
12
AI-driven demand response strategies
13
IoT-enabled energy storage solutions
14
Smart home energy management systems
15
Energy forecasting using AI techniques
16
Sustainable energy solutions with IoT
17
AI for optimizing energy distribution
18
IoT protocols for energy efficiency
19
Machine learning in renewable energy
20
AI-enhanced energy system resilience