On this episode of the Hypercube Podcast, Adam Sroka speaks with Philip Bradstock, Co-founder and Head of Analytics at Bitbloom, a company helping renewable energy owners unlock hidden efficiencies in wind and solar assets. Philip shares his journey from turbine modelling to founding Bitbloom, where he uses data to optimise performance across more than five gigawatts of renewable assets worldwide.

They discuss how analytics, machine learning, and automation turn complex renewable data into actionable insights. Philip explains how combining human expertise with AI helps boost efficiency, reduce downtime, and extend asset life — driving smarter, more sustainable energy operations.

Adam and Philip cover:

• Philip’s journey from physics research to co-founding Bitbloom
• Using data and AI to uncover efficiency gains in renewables
• Turning complex data into clear operational insights
• Balancing automation with human expertise
• Maximising assets to power the energy transition

In this episode of the Hypercube Podcast, we welcome a new voice behind the mic - Ivona Voroneckaja, Engineering Manager and former Senior Data Scientist at Hypercube - as she speaks with Duncan Bain, Senior Systems Engineer at SAS UK, about how innovation and intelligence are redefining energy forecasting.

They explore how AI-driven modelling and decentralised energy systems are transforming the way organisations forecast demand, generation, and pricing - using approaches that range from traditional methods like ARIMA to advanced LSTM and hybrid CNN-LSTM models that combine human expertise with machine learning.

Duncan shares how SAS empowers forecasting teams through cloud-based, data-driven tools, while Ivona offers a practitioner’s view on turning insights into real-world action.

Upcoming Webinar:

This episode also highlights The Future of Energy Forecasting webinar, hosted in partnership with SAS. The session offers a deeper dive into how organisations can navigate market volatility and accelerate innovation in energy forecasting.

A grounded, forward-looking discussion on what’s next in energy forecasting, and how AI, data, and human insight are helping the sector stay ahead of change.

Ivona and Duncan discuss:

• The cost of poor forecasting and market penalties
• Modelling renewables, electrification, and volatility
• Using AI, synthetic data, and cloud platforms for smarter forecasts
• Building trust and transparency into predictive models
• The next frontier - from hybrid AI to quantum optimisation

On this episode of the Hypercube Podcast, Adam Sroka speaks with Jade Edwards, Head of Insights at Zapmap, a leading EV charging platform in the UK. Jade shares her journey from data analysis in the insurance sector to leading insights at the forefront of EV infrastructure, where she leverages charging behaviour and network data to optimise public charging solutions.

The conversation explores the complexities of building and managing EV charging networks, from on-street lamppost chargers to high-powered hubs, and how data-driven insights inform planning, utilisation, and investment decisions. Jade explains how advanced analytics, GIS mapping, and forecasting models help stakeholders - including charge point operators, local authorities, and energy distributors - make smarter, more efficient decisions to support the growing EV ecosystem.

Adam and Jade also discuss the future of EV infrastructure, including AI-driven forecasting, integration with the energy grid, and the importance of providing equitable access to charging for all drivers. From practical operational insights to strategic planning for the energy transition, this episode offers a deep dive into the data shaping the future of EV charging in the UK.

Adam and Jade cover:

• Unexpected patterns in local EV charging behaviour
• Maintaining accurate and GDPR-compliant data
• Innovative collaborations with universities and industry partners
• Infrastructure planning, utilisation forecasting, and future pricing models
• Solutions for drivers without home charging options