AI-Powered Continuous Integration and Continuous Deployment (CI/CD)
Date: 06/11/24
By: Krzysztof Lewczuk
Now that the dust has settled in the event spaces of the Hilton London Metropole and the final crumbs of bacon brioche swept from the swirling carpets, it’s time to take stock and reflect on this year’s Energy Trading Week.
Energy Trading Week Europe 2024 was held in London from 24-25 September, and it brought together over 1,000 industry professionals to discuss the rapidly changing energy trading landscape. The event focused on key themes shaping the sector, driven by technological advancements, regulatory changes, and the global transition towards decarbonisation.
Decarbonisation and Sustainability
The conference’s core theme was the energy transition, highlighting the growing need for decarbonisation strategies in energy trading. Collaborative sessions with MICEcarbon delved into reducing carbon footprints, evolving carbon markets, and the growing role of carbon offsets. Key emphasis was placed on trading environmental certificates, the increasing importance of Power Purchase Agreements (PPAs), and Guarantees of Origin, all signalling the industry’s ongoing shift towards sustainability. Other prominent discussions covered hydrogen markets and the future of renewable energy, as traders looked to align their operations with global climate goals.
Digital Transformation and Automation
A significant focus at this year’s event was digitalisation and automation in trading operations. Sessions covered the implementation of energy trading and risk management (ETRM) systems, as well as the role of data analytics and AI-driven solutions in optimising trading processes. Advances in IT strategy and architecture, particularly in handling large datasets, were highlighted as critical enablers for the future of energy trading. The potential of AI for predictive analytics and automation was explored in depth, as it reduces human error and enhances market responsiveness. Currently, almost 60% of trading activities are automated, showcasing AI’s transformative impact.
AI Breakthroughs and Risk Mitigation
AI innovations in the energy sector were spotlighted, particularly their role in optimising capture prices and mitigating risk. Managing price levels and hourly shapes has become vital as renewable energy scales up, and AI is proving to be a game-changer in maintaining market stability. The extended forecast horizon, up to 30 days, is improving the accuracy of weather predictions and battery optimisation strategies. However, despite AI’s promise, risks remain. Speakers stressed the need for careful model development to avoid errors and ensure safety.
Energy Markets and Forecasting
A key theme was the outlook for major energy markets, especially power, gas, and LNG. Experts presented insights into forecasting market trends, supply-demand dynamics, and the geopolitical factors that influence pricing. LNG trading complexities, such as supply chain challenges and pricing models, were discussed in detail. The volatility of gas-to-power demand and the increasing role of storage technologies were examined within the broader context of the energy transition.
Risk Management and Regulation
With growing market complexity, risk management became a pivotal discussion point. Sessions addressed emerging risks, including cybersecurity threats and shifting regulatory landscapes. Tools like RegTech were presented as critical solutions for improving compliance and risk mitigation. Updates from financial and energy regulators, especially concerning the EMIR and REMIT frameworks, were also covered. Attendees were encouraged to foster a proactive risk management culture to navigate the evolving challenges of sanctions and compliance.
Storage and Renewables Optimisation
With the increasing importance of renewables, discussions around optimising battery storage and flexibility markets were essential at this year’s event. Innovations in virtual power plants (VPPs) and battery optimisation technologies were seen as key solutions for stabilising the grid and integrating intermittent renewable energy sources. These technologies are crucial for achieving energy transition goals while ensuring security of supply
Data as the Backbone of AI
Data quality and accessibility emerged as critical drivers of AI success in the renewable energy industry. Without reliable data, the potential for AI to transform energy trading could be limited. This emphasis on data highlights the need for continuous improvement in how data is collected, processed, and utilised.
In summary, Energy Trading Week Europe 2024 highlighted the energy sector’s need to innovate and adapt in the face of rapid technological changes and regulatory demands. The integration of AI, commitment to sustainability, and focus on risk management are shaping the future of energy trading.
If you are looking for a partner organisation to help with your data backbone and to get your trading organisation fit for AI then why not give us a call? We’ve got 25 years of working within the sector. Have a look at some of the work we’ve already carried out.
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