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ICDMEESG · Registering as Listener
International Conference on Data Mining for Energy Engineering and Smart Grids
15–16 Feb 2027
Perth, Australia
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$
135
virtual · $195 in person
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1. Policy on Cancellations & Refunds :
A full refund is possible only if the cancellation request is submitted at least 70 days before the conference, with formal paperwork completed at least 60 days prior.
If cancellation occurs between 60 and 30 days before the event, partial refunds may be granted based on administrative costs incurred.
Cancellations made within 30 days of the event are non-refundable, though participants will receive a credit valid for one year.
Registrations made less than 30 days before the event are not eligible for refunds, but may be transferred to another ISIT conference.
Since this conference is hybrid format, the organizer reserves the right to conduct the event either in-person or virtually. Please note that no refunds will be issued due to changes in the event format.
Virtual registration fees are non-refundable. A credit will instead be issued for use at a future conference event.
2. Participation & Registration Requirements :
To attend an ISIT event, participants must complete the registration process within the stipulated time.
The event schedule, venue, and format are subject to changes at the discretion of the organizers, with prior notice sent via email.
ISIT is not liable for any financial losses resulting from changes in event details.
Fees paid for registration are strictly non-refundable.
If the primary author cannot participate, a co-author may attend instead, but refunds will not be granted for non-attendance.
3. Submission & Publication Norms :
Researchers submitting papers to ISIT must ensure their institution or supervisor is aware of their submission.
Each submission is subject to a rigorous peer review before being accepted for presentation.
Only papers linked to a completed registration will be included in conference proceedings.
The submitting author is considered the primary author; ISIT does not verify individual authorship claims.
If any concerns regarding authorship arise and are validated, the paper will be withdrawn without reconsideration.
Once a paper is removed, it cannot be reintroduced into any ISIT publication.
4. Travel & Accommodation Responsibilities :
Attendees are responsible for making their own travel and lodging arrangements.
ISIT does not provide logistical assistance for travel or accommodation.
The organization bears no responsibility for expenses incurred due to conference modifications or rescheduling.
5. Visa & Invitation Letter Policy :
Attendees are responsible for making their own travel and lodging arrangements.
ISIT does not provide logistical assistance for travel or accommodation.
The organization bears no responsibility for expenses incurred due to conference modifications or rescheduling.
ISIT does not engage directly with consulates or embassies on behalf of attendees.
Participants must handle their own visa applications and processes.
Important Information Regarding Invitation Letters:
The invitation letter is provided solely for conference attendance and does not serve as a document for immigration, employment, or residency purposes.
The letter assists in visa applications but does not guarantee visa approval.
ISIT holds no responsibility for visa denials or processing delays, and all related costs are borne by the applicant.
Any alterations or unauthorized use of the invitation letter will result in its invalidation and possible cancellation of conference participation.
Legal action may be pursued if the document is misused.
By accepting the invitation letter, attendees agree to comply with international travel regulations and ethical participation standards.
6. Registration Transfers :
Registrations may be transferred to another individual from the same institution if the original participant cannot attend.
Transfer requests must be made via email to
[email protected]
with necessary details and supporting documents.
Transfers must be requested at least 14 days before the event; otherwise, they will not be accommodated.
Transferred registrations are not eligible for refunds.
7. General Considerations :
Any modifications or cancellations must be communicated in writing to
[email protected]
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Registration confirms acknowledgment and acceptance of these policies.
ISIT does not initiate automatic transactions; all payments are voluntarily completed by registrants.
Once registered, participants must submit a conference registration form within three days for confirmation.
Travel plans should only be finalized after receiving the official conference itinerary, which will be shared 15 days before the event.
8. Conference Programme and Participation Policy :
Presentations from different but relevant academic areas may be combined by the Organiser within an interdisciplinary or multidisciplinary programme to encourage cross-disciplinary understanding, interaction, and future research partnerships.
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What you'll hear about
Session tracks covered across the event.
View all 11 tracks →
01
Predictive Analytics in Energy Systems
This track focuses on the application of predictive analytics techniques to enhance the performance of energy systems. Participants will explore methodologies for forecasting energy demand and supply, as well as the implications for grid management.
02
Data Mining Techniques for Smart Grid Optimization
This session will delve into innovative data mining techniques aimed at optimizing smart grid operations. Discussions will include algorithms and models that improve efficiency and reliability in energy distribution.
03
Renewable Energy Integration through Data Analytics
This track examines the role of data analytics in facilitating the integration of renewable energy sources into existing power systems. Researchers will present case studies and methodologies that address challenges related to variability and grid stability.
04
Load Forecasting Models for Enhanced Grid Management
This session will focus on advanced load forecasting models that support effective grid management. Participants will discuss the impact of accurate load predictions on energy efficiency and resource allocation.
05
Sensor Data Utilization in Energy Engineering
This track explores the utilization of sensor data in monitoring and optimizing energy systems. Presentations will highlight innovative approaches to data collection and analysis for improved operational insights.
06
Energy Efficiency Modeling and Analytics
This session addresses the modeling and analytical techniques used to enhance energy efficiency in various sectors. Participants will share insights on best practices and innovative solutions for energy conservation.
07
Grid Stability Analysis through Data Mining
This track focuses on the application of data mining techniques to analyze and enhance grid stability. Researchers will present findings on identifying vulnerabilities and developing strategies for resilient energy systems.
08
Optimization Algorithms for Power Systems
This session will explore optimization algorithms designed to improve the performance of power systems. Discussions will include the application of these algorithms in real-time decision-making and operational efficiency.
09
Big Data Challenges in Energy Engineering
This track addresses the challenges posed by big data in the field of energy engineering. Participants will discuss data management, processing techniques, and the implications for analytics in smart grids.
10
Machine Learning Applications in Energy Data Analysis
This session will focus on the application of machine learning techniques in the analysis of energy data. Researchers will present innovative models that enhance predictive capabilities and operational insights.
11
Policy Implications of Data-Driven Energy Solutions
This track examines the policy implications of implementing data-driven solutions in energy engineering and smart grids. Discussions will focus on regulatory frameworks and strategies to support sustainable energy practices.