SECTORS

Energy

Navigate the path to Net Zero 
ENERGY

Today’s energy leaders are driving tremendous change on ambitious timescales. Faced with the crucial but competing pressures of delivering secure, affordable, low carbon energy by 2050, network operators and industry participants alike play a crucial role in adopting cutting-edge solutions. As governments worldwide prioritise decarbonisation and renewable energy, now is the time to innovate and adapt. 

HOW DATA SCIENCE AND AI CAN HELP

Creating a sustainable future

Data science, advanced mathematics, and artificial intelligence are essential allies in your journey toward a more efficient and sustainable energy future. These technologies enhance demand forecasting, optimise resource allocation, and enable smarter asset management. They are key to unlocking net zero strategies across organisations, the industry, and the globe.  

At Smith Institute, we have a long track record of working with the Energy System Operator and a range of energy sector clients to deliver real world results. With growing incentives to implement low-carbon solutions that add operational value, there has never been a better time to harness the potential of modelling and AI. 

STRATEGIES TO ACHIEVE A ZERO-CARBON ENERGY SYSTEM

Driving the Zero-Carbon Transition

Transitioning to a zero-carbon energy system is essential for sustainable future.  

  • Enhanced Forecasting: Account for uncertainty and harness the power of probabilistic forecasting to improve situational awareness and make better decisions.  
  • Cost Reduction in Balancing: Apply explainable machine learning, optimisation, and emerging Generative AI techniques to improve efficiency within balancing. 
  • Open Data and Virtual Energy System: Fill in data gaps, create effective ontologies, and develop simulation tools to enable a low carbon, adaptive modelling future.  
INNOVATING FOR A RESILIENT NET ZERO TRANSITION

Whole Energy System

Understand and optimise changing energy vectors to achieve a secure, resilient Net Zero future.  

  • Co-Optimisation of Energy Resources: Harness the potential of integrated systems to balance and enhance the utility of heat, power, transport, and industrial energy. 
  • Resilience Enhancement: Use modelling and simulation to explore and strengthen network resilience at local, regional and national scale.  
  • Innovative Integration Practices: Explore new configurations and approaches to integration of energy vectors – enabling sustainable and efficient outcomes. 
REVOLUTIONISING ENERGY MANAGEMENT

Digital, AI and Data

Digitalisation, AI, and data are transforming how the energy system operates – enhancing decisions, improving efficiency and enabling innovation.  

  • Advanced Operational Tools: Implement tools like the Dynamic Reserve Setting model and the Modernised Dispatch Algorithm to enhance control room operations. 
  • Process Automation: Use optimisation and AI to automate routine processes, reducing manual errors and increasing productivity. 
  • Improved Decision-Making: Leverage comprehensive data analytics for faster and more accurate decision-making within your organisation. 
PIONEERING MARKET REFORMS AND REMOVING BARRIERS

Future Markets

Reduce barriers and enable market reforms to shape the energy system of the future.  

  • Market Reforms: Design and implement the models and algorithms which support market reforms that are crucial to enabling the transition to Net Zero  
  • Barrier Removal: Implement algorithmic monitoring tools which eliminate obstacles for renewable market participants (e.g. batteries, wind) - facilitating fair competition and paving the way to a low carbon future. 
USING AI TO ENSURE A JUST TRANSITION

Consumer Vulnerability

Ensure that all consumers benefit equally from the transition to Net Zero.  

  • Innovative Data Analytics: Gain insight into consumer needs and vulnerabilities. 
  • Predicting Vulnerability Patterns: Harness the power of your data and explainable machine learning to predict patterns of vulnerability – enhancing services now and improving infrastructure in the long term.  
  • Inclusive Net Zero Strategies: Use modelling and simulation to explore scenarios and inform policies - ensuring the Net Zero transition is inclusive and equitable. 
MAXIMISING PERFORMANCE WITH STRATEGIC ASSET MANAGEMENT

Proactive Optimised Assets

Optimise asset performance and operational practices to improve service delivery and efficiency. 

  • Resilience Improvements: Use forecasting, optimisation and AI to enhance the resilience of assets, prevent failures, and extend their lifespan. 
  • Maintenance Optimisation: Develop and implement decision support systems for more effective maintenance activities. 
  • Asset Health and Capacity Maximisation: Use advanced analytics to optimise asset health and maximise capacity. 
We used machine learning to help National Grid determine the balance risk and efficiency with energy reserve levels to manage UK supply and demand.
SECTORS

Trusted from AI to net zero

Domain-specific understanding plus mathematical depth equals cross-sector insight. We work with clients across multiple industries to deliver potent, timely results again and again.
Explore AI and data science topics impacting the Energy sector

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