This section outlines the building blocks of PPA valuation, from core variables to the methods used to calculate fair value and pricing. It highlights the added complexity of hybrid assets and the role of technology in managing it. Key elements include risk assessment, mitigation strategies, and market analysis supported by ...
This session explores the current state of risk management technology, emphasizing the importance of real-time data. It examines how AI and machine learning are transforming risk modeling, prediction, and decision making, and discusses how digitized risk tools can help mitigate market volatility while enabling faster, more informed responses to emerging ...
This session examines the routes to market available for independent power producers (IPPs) and strategies for navigating increasingly complex markets and portfolio management. It will explore whether diversification alone is sufficient to mitigate risk or if other approaches can help IPPs manage exposure and optimise returns.
This session guides participants on starting their AI journey, distinguishing AI applications from standard automation and exploring when each is appropriate. It covers experimentation approaches, the use of generative AI to optimise strategies, manage risks, and maintain regulatory compliance, and highlights real world energy trading use cases across front, middle, ...
This session looks at forecasting the next five years in energy trading, identifying key trends that could reshape markets. It examines the features and capabilities needed from ETRM systems, the importance of robust architecture, and practical steps to get there, including roadmaps, innovations, and technology adoption strategies to stay ahead.
This session explores the challenges of managing a growing and complex asset portfolio, including scaling teams and processes to meet new demands. It highlights how technology opens opportunities for performance optimisation, flexible hedging, and integrating battery storage with renewables, while digital tools and platforms improve forecasting of both supply and ...
This session examines the impact of the wider geopolitical context, including tensions in the Middle East and Ukraine, on energy markets. It explores how a new US administration may influence European energy dynamics, what is needed to get the energy transition back on track, and whether traders are adapting their ...
Technology is reshaping the energy market as AI and machine learning move to the forefront, offering new ways to interpret signals and guide decisions. Big data and advanced analytics are becoming core to strategic planning, helping firms uncover trends and test scenarios with greater precision. Automation and algorithmic trading are ...
A more streamlined market landscape can offer clearer visibility, especially as renewables take on a larger share and create opportunities for standardization in contracts, products, and data formats. AI and machine learning are reshaping real time decision making by highlighting patterns, forecasting shifts, and guiding rapid responses. IoT data and ...
