Energy & Utilities
Accelerate the Energy Transition with Data & AI
With Data Science and Machine Learning, anticipate energy demand, optimise your smart grids, detect fraud and support the transition to renewable energy.
THE CHALLENGES FACING THE SECTOR
Key issues in
Energy & Utilities
The energy and utilities sector faces major challenges: increasing demand, growing integration of renewable energies, combating fraud and modernising infrastructure. In this context, data exploitation has become essential to ensure efficiency, security and sustainability.
Anticipating and managing energy demand
Fluctuations in consumption require reliable forecasts to avoid overloads, reduce costs and improve planning.
Reducing energy fraud
Fraud-related losses represent a considerable cost. Proactive detection helps secure revenue and limit abuse.
Optimising distribution and smart grids
Smart grids require real-time management to ensure a balance between production, storage and consumption.
Accelerating the transition to renewable energy
Predictive modelling helps to integrate renewable energies more effectively while ensuring grid stability.
OUR SOLUTIONS
Key AI Use Cases in
Energy & Utilities
01
Energy demand forecast
Predictive algorithms to anticipate peaks and troughs in consumption, improve production management and adapt capacity accordingly.
02
Optimisation of smart grids
Utilising real-time data to balance supply and demand, integrate renewable sources, and improve infrastructure reliability.
03
Energy fraud detection
Analyse des comportements de consommation et détection d’anomalies pour identifier les fraudes et réduire les pertes non techniques.
04
Modelling for the energy transition
Simulation and AI tools to support the development of renewable energies and optimise their integration into the energy mix.
OUR SOLUTIONS
Benefits for Your Business
Choosing HAXAN for your data and AI projects in the energy and utilities sector means transforming your data into a strategic tool for improving operational efficiency and accelerating the energy transition.
Optimised demand management
The ability to accurately predict consumption variations makes it possible to tailor production to actual needs, avoid overloads and waste, and ensure better infrastructure planning. This optimisation results in more efficient use of resources and reduced operating costs.
Network reliability and cost-effectiveness
Intelligent management of smart grids increases the resilience of the energy system, reduces the risk of outages and improves service continuity. By balancing supply and demand in real time, operators increase profitability while ensuring better distribution quality for consumers.
Loss reduction and fraud prevention
Non-technical losses, often linked to fraud, are a major challenge for energy companies. Through automated analysis of consumption data, AI quickly detects anomalies and suspicious behaviour. This proactive approach helps secure revenues, improve transparency and strengthen the confidence of regulators and customers.
Accelerating the energy transition
Predictive modelling facilitates the integration of renewable energies into the energy mix while ensuring grid stability. It makes it possible to anticipate the impact of decentralised production and adapt infrastructure to support the transition to a more environmentally friendly model in the long term.
Our experts will respond promptly.
Enter your email address and receive a personalised initial consultation.
Energy & Utilities
Our Support Methodology
To discover how we adapt this methodology to your industrial context :
In a sector as critical as energy, precision and reliability are essential. That is why, at Haxan, we have designed a rigorous methodology, designed to meet the operational and regulatory challenges faced by players in the field. It enables you to quickly transform your data into performance levers, while ensuring security, compliance and return on investment.
Our approach is based on three key steps :
1. Energy audit and scoping
We conduct an in-depth analysis of your consumption, infrastructure and production data to gain a clear picture of your priorities. This phase includes identifying the most relevant use cases and taking regulatory and environmental constraints into account. It forms the basis for a realistic roadmap tailored to your strategic objectives.
2. Deployment of integrated AI solutions
We design models specifically tailored to your needs (demand forecasting, network optimisation, fraud detection) and integrate them directly into your existing systems. Interconnection with your smart grid infrastructure ensures smooth and secure operation. Each solution is developed to be both scalable and sustainable, in order to support your future developments.
3. Monitoring & continuous improvement
Once deployed, our solutions are monitored in real time to ensure their performance and operational reliability. Models are recalibrated according to changes in demand or production. This ongoing support maximises return on investment and guarantees continuous improvement for your teams and customers.