AI Fundamentals: Energy Cost Optimisation
With rising energy prices, tightening sustainability targets, and increasing competition, optimising energy use is essential. For Munster’s industries and public sector organisations, smarter energy management unlocks financial savings, enhances resilience, and drives environmental leadership.
Economic Advantage: High energy costs place pressure on businesses and public institutions. AI-driven optimisation reduces expenses by minimising waste, predicting failures, and improving efficiency. Savings can be reinvested into operations, workforce development, and business growth.
Competitive Edge: Energy-efficient businesses attract investment, secure funding, and meet sustainability expectations. Whether in manufacturing, IT, public administration, or retail, those optimising energy gain a strategic advantage, strengthening their reputation and long-term viability.
Sustainability and Compliance: Ireland’s carbon reduction commitments and regulatory demands require decisive action. Integrating renewables, optimising consumption, and leveraging predictive maintenance help cut emissions and ensure compliance.
Delivered by Helmut Simonis from University College Cork, this on site one-day skills development course will combine several industrial case studies and overview presentations. Lectures will explore Ireland’s energy landscape and demonstrate proven AI techniques for optimising energy use. Attendees will gain valuable insights through case studies and interactive discussions while networking with industry leaders and key decision-makers in the energy sector.
Date: Thursday, May 1st 2025 – this is a provisional date, which is subject to change based on timely registration of the minimum required number of attendees.
Location: Onsite in UCC – Room 2.26, Western Gateway Building, University College Cork
Participants will gain hands-on knowledge and skills to:
– Understand Ireland’s energy landscape and optimisation challenges.
– Improve data collection, reconciliation, and anomaly detection.
– Use energy use and price prediction models for smarter decision-making.
– Leverage renewables, storage, and load shifting to reduce costs.
– Analyse real-world case studies, including campus energy supply and data centre efficiency.
For more information and to register:
https://entire-edih.ie/skills-development/ai-fundamentals-energy-cost-optimisation/
Registration Deadline: 16th April 2025
