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      Energy 21,

      HOW DO

      YOU CREATE

      ADDED VALUE?

      Qubiz and Energy21 already have so much in common, as we both add value to our clients' businesses by combining technological know-how and industry expertise.

      For over 16 years, we’ve delivered high-performance, scalable solutions infused with powerful analytics. As a result, major energy companies such as DVEP/UGI International trust Qubiz to streamline their operations and support them in making major business decisions, thinking along with them at every stage of the process.

      As your tech partner, we look forward to contributing to your long-term mission & vision of creating a more sustainable energy economy.

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      TRUSTED

      IT PARTNER

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      CUSTOM

      SOFTWARE

      SOLUTIONS

      FOR ENERGY

      We have delivered a wide range of secure, compliant and sustainable solutions for energy clients.

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      Energy Portfolio Management

      Optimise energy resources for efficiency, sustainability and cost savings. Deliver a better scenario analysis in the long or short term.

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      Billing Process Optimisation

      Automatically generate invoices based on energy consumption profiles and contractual data. Get a better handle on dynamic tariffs influenced by emerging power sources.


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      Energy Consumption Forecasting

      Enhance energy trading efficiency by predicting consumer patterns based on forecasting models, avoiding waste and financial loss.

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      User Experience Optimisation

      Design user-friendly applications across the entire energy chain, from producers to consumers.

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      Smart Grid Data Processing

      Identify useful information and patterns in large datasets to minimise errors and integrate both traditional and new energy sources.

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      Maintenance and Support

      Benefit from long-term maintenance and support after solutions are deployed in production.

      ENERGY

      SUCCESS

      STORIES

      Predicting Energy

      Consumption Patterns

      ENERGY

      SUCCESS

      STORIES

      Predicting Energy

      Consumption Patterns

      Challenge

      DVEP Energie (part of UGI International) had multiple legacy energy management systems, making the process of predicting energy consumption patterns a hassle. Additionally, due to a change of legislation, they could be penalised for buying more or less energy than needed.

      Solution

      As their long-term partner, we built a Balance Responsible Party (BRP) application to manage the difference between consumption and generation so that the difference is as close to zero as possible in each trading interval. This Machine Learning-based module generates a forecast based on client consumption patterns, so they know how much to buy in advance.

      Result

      DVEP can now predict energy consumption patterns, which makes energy trading much more cost and time-efficient.

      ENERGY

      SUCCESS

      STORIES

      Efficient Energy

      Data Warehouse

      ENERGY

      SUCCESS

      STORIES

      Efficient Energy

      Data Warehouse

      Challenge

      As the technological provider for all the European UGI-owned energy and gas distribution branches, DVEP wanted to integrate the numerous systems into a single central data repository with the capacity to provide insights into business operations. Before working with us, each branch had its own ERP in place with its own data management system and solution.

      Solution

      We worked on a multi-tenant data warehouse solution to standardise data for all countries. The data is extracted from multiple ERP systems and stored in a Data Warehouse.

      Result

      Our client now has a centralised data warehouse solution for all regions covered, making it much easier to handle and validate data, generate accurate reports, and send invoices.

      ENERGY

      SUCCESS

      STORIES

      Sustainable and Smart

      AI Solution for Cold

      Storage Warehouses

      ENERGY

      SUCCESS

      STORIES

      Sustainable and Smart

      AI Solution for Cold

      Storage Warehouses

      Challenge

      Our client is a global company specialising in cold chain logistics with many advanced automated facilities. As top innovators, they needed a sustainable solution to minimise energy costs and waste generated by refrigerator cooling systems and picking locations.

      Solution

      As a strategic partner, Qubiz developed an innovative AI agent based on reinforcement learning. The intelligent solution uses warehouse historical data to learn optimal policies for energy cost reduction. We prioritised scalability, as the solution will be implemented in many warehouses worldwide, even in brand-new facilities with zero historical data available.

      Result

      Our clients can significantly improve their sustainability efforts, integrate renewable energy sources and reduce energy costs across 15 cold storage warehouses.

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      WHY

      CHOOSE

      QUBIZ?

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      Flexibility and Scalability

      Effortlessly scale your team up or down as your project evolves with instant access to a wide range of tech skills and a team of 350+ experts.

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      Trusted Partnership, One Team

      Collaborate with dedicated professionals who understand your business and industry context, working as One Team to drive results.

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      Excellent Cultural Fit

      As an EU member, we adhere to the same rules and regulations. Most of all, we have a similar work style as most Dutch businesses, preferring a flat organisational structure.

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      Future-Ready Solutions

      Our approach ensures that our solutions meet current needs and are designed for future scalability and innovation.

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      Jeroen Klep

      Jeroen Klep

      Project Manager Data Insights & Integration @ NEWCOLD

      Qubiz is a valuable IT partner, helping us solve all of our technical issues and challenges on all aspects. For us, it’s not just a matter of handing over the specifications and a solution comes back; it’s a joint effort in solving complex matters, tapping into the knowledge of all the Qubiz teams whenever we need it.

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