""AI-Powered Innovations in Renewable Energy Systems"
Energy Transition and
Renewable Resources
Objective:
Explore the transformative potential of artificial intelligence in revolutionizing renewable energy production, grid management, and energy storage, with a focus on implementing intelligent forecasting methods to advance the efficiency and sustainability of energy transition initiatives.
Theme:
This session aims to examine how AI-driven solutions can be harnessed to optimize the production of renewable energy, elevate grid management through machine learning advancements, and enhance energy storage technologies. By delving into intelligent forecasting techniques, the session seeks to highlight the pivotal role of AI in addressing the challenges of integrating renewable resources into mainstream energy systems, fostering a more sustainable and resilient energy landscape.
Energy Transition and Renewable Resources
is
contribution to
The
Sustainable
Development Goals:
Goal 9: Industry, Innovation, and Infrastructure
Dive into the pivotal role of AI in Natural Disaster Resilience and Response to
bolster sustainable infrastructure development, employing state-of-the-art
technologies to craft resilient and environmentally conscious solutions.
Explore how recent advancements in AI for Natural Disaster Resilience and Response
are integrated into sustainable industrialisation efforts to overhaul infrastructure
development paradigms, thereby advancing sustainability within industrial
operations.
Goal 12: Responsible Consumption and Production
Investigate the imperative role of Natural Disaster Resilience and Response in
fostering sustainable patterns of production and consumption within agriculture,
leveraging advanced technology and efficient resource management to mitigate the
impacts of disasters and address environmental challenges on a global scale.
Examine strategies for implementing Natural Disaster Resilience and Response
measures in agriculture, focusing on resource efficiency, waste reduction, and
sustainable production and consumption practices through the adoption of
cutting-edge technology, thereby promoting sustainable development and resilience in
agricultural systems.
Goal 17: Partnerships for the Goals
Explore the transformative impact of advancements in electrical power systems on
achieving sustainable development goals, fostering inclusive institutions, and
ensuring effective accountability in the field.
Dive into comprehensive research on the advancements and applications in electrical
power systems, with a particular focus on securing future sustainability,
prosperity, and peace, while nurturing inclusive and harmonious societies.
Who Can Join
Research Scholars
Technology Experts
Students & Alumini’s
Editorial Board Members of Journals
Government Officials
Industry Professionals
Tracks
Topics of Interest for Submission include, but are not limited to:
1 AI-driven solutions for optimizing renewable energy production.
2 Grid management and energy storage advancements with machine learning.
3 Intelligent forecasting for renewable energy generation.
4 Advanced Forecasting Models for Renewable Energy
5 Optimizing Wind Energy Production with AI
6 Solar Power Generation Optimization Using AI
7 Smart Grids and Self-Healing Networks
8 Energy Storage Management with Machine Learning
9 Decentralized Energy Systems and AI
10 Predictive Maintenance for Renewable Energy Infrastructure
11 Optimal Siting and Resource Allocation
12 Intelligent Demand Response Systems
13 Machine Learning in Energy Market Forecasting
Outcomes:
- The implementation of AI technologies is anticipated to significantly improve the efficiency of renewable energy production, ensuring optimal utilization of resources.
Increased Renewable Energy Efficiency:
- Machine learning advancements in grid management will contribute to more resilient and adaptive energy grids, capable of handling the variability inherent in renewable energy sources.
Grid Optimization and Resilience:
- AI-driven solutions are expected to lead to breakthroughs in energy storage, making systems more intelligent and responsive to demand, ultimately increasing the reliability of renewable energy.
Advancements in Energy Storage:
- The session aims to showcase how intelligent forecasting methods can provide accurate predictions for renewable energy generation, enabling better planning and decision-making for a sustainable energy transition.
Precision in Renewable Energy Forecasting:
Scope & Benefits of Attending Beyond Intelligence 2024 conference
Discover the transformative potential of Beyond Intelligence 2024 with a focus on sustainable innovation and technology-driven solutions to address pressing environmental challenges. Learn,
Benefits of Attending Beyond Intelligence 2024
- Resource Efficiency and Infrastructure Resilience: Learn about strategies to optimise resource use and enhance the resilience of critical infrastructure.
- Sustainable Energy and Environmental Conservation: Dive into discussions on renewable energy sources, biodiversity preservation, and effective environmental conservation practices.
- Innovation for Sustainable Development: Engage in sessions promoting innovation, environmental awareness, and the adoption of eco-friendly practices.
- Responsible Business Practices: Gain insights into fostering sustainability through ethical financial strategies, transparent corporate operations, and responsible business practices.
- Inclusive Decision-Making for Sustainability: Understand the role of human behaviour, societal values, and cultural perspectives in driving inclusive decision-making processes for sustainable development.
Author Guidelines
Guidelines for Abstract Submission:
- Language: Abstracts must be written in English.
- Length: Limited to one paragraph with 200-250 words.
- Format: Submit in MS Word (.doc or .docx) document format.
- Content: Abstracts should provide an informative summary of the original work. Include a brief biography with your abstract, following the example provided in the template.
- Formatting: Center-align the Title, Author's Names, and Affiliations. Underline the presenting author's name.
- Submission: Please submit your abstract through the designated submission portal.
- Acknowledgment: Upon abstract submission, you will receive an acknowledgment email within three working days.
Evaluation Process
Guidelines for Full Paper Submission
If your abstract has been accepted and the registration fee for Beyond Intelligence 2024 has been paid, you are invited to submit the full paper. Please adhere to the following guidelines for the submission:
- Total number of pages: 6-8 in double-column format
- Language: English (checked for grammar and language errors)
- Tables, figures, and images should be properly named and of high quality.
- Keywords should be written in lowercase letters (except for names/scientific names) and separated by commas.
- Affiliation names, including the country, must be provided.
- Each paper should be structured into the following sections:
- Background, Motivation, and Objective
- Statement of Contribution/Methods
- Results, Discussions, and Conclusions
Once your full paper is prepared according to the above instructions, please proceed to submit it through the provided link. Submit your Full paper Here.
Session Lists
