Data ScienceArtificial IntelligenceIoT (Internet of Things)
Student only
This hackathons is only open to students. Double check the event page for more information as this may mean only those from a particular university/country are eligible.
Event Type
online
36
Participants
$1,500
Prize Pool
3
Est. Projects
Organizers
Alex Johnson
alex@example.org
Jamie Rivera
jamie@example.org
Sam Chen
sam@example.org
Quality Score
Quality Score
72/100
High confidence
Organiser16/20
Event Maturity14/20
Sponsors18/25
Participants12/20
ASU Energy Hackathon: Engineering the Future
The ASU Energy Hackathon is a prototype-first, interdisciplinary hackathon focused on building real solutions for the energy transition.
Hosted by the Association of Energy Engineers (AEE) ASU Student Chapter at Arizona State University, the event brings together students from engineering, computer science, business, policy, design, and related fields to solve practical challenges across energy, buildings, infrastructure, and climate technology.
Event snapshot
Date: April 18–19
Location: ASU Tempe Campus
Host: AEE ASU Student Chapter
Partner Clubs: AI Society, IEEE, ASHRAE, DevHacks
Core Tracks
1) AI for Energy
Build machine learning and analytics solutions for forecasting, optimization, anomaly detection, simulation, and grid intelligence. The current flagship challenge direction is a spatio-temporal foundational model for complex grid-related simulations and predictive analytics.
2) Software for Energy - Problem Statement TBD
3) Hardware for Energy
Build practical energy hardware systems involving sensing, controls, embedded devices, battery diagnostics, solar-powered IoT, and physical energy interaction. This track is centered on working prototypes with live sensing, control logic, and visible outputs. The Hardware for Energy track currently includes two especially strong anchor directions:
Battery Lie Detector — test the true usable capacity and state of health of a lithium-ion cell.
Energy Debt Tracker — build a solar-powered ESP32 node that tracks energy harvest vs. energy spend and adapts behavior across surplus, balanced, and deficit states.
4) Energy Efficiency - Problem Statement TBD