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Energy & Public
Artificial Intelligence solutions for forecasting, energy portfolio optimization and simplified access to energy markets.
Service Platform
An Open Data solution built on complete, independent modules. They can be integrated with each other or with the solutions already active in your company.
Service
Platform
Platform
An Open Data solution built on complete, independent modules. They can be integrated with each other or with the solutions already active in your company.
AI & Energy
Since the birth of the free market, we’ve supported financial and physical risk management alongside energy portfolio analysis for Power, Gas and Heat Networks dispatching services.
Free up resources from day-to-day operations by integrating advanced AI models for forecasting, balancing and price analysis.
Available both On-Premises and As a Service, our platform gives you fast market access while always staying compliant with regulations.
98%
Forecast accuracy
8.000.000
Metering points managed
70.000.000 MWh
Energy under management
+25
Years of experience
Today’s energy transition is driving wider adoption of non-programmable renewable sources and greater integration between European electricity markets. This calls for a new, more advanced and faster electricity system, able to meet new regulations such as the Quarter-Hourly Market Time Unit (MTU).
The Deda Ai platform for the Energy market is a vertical suite covering multiple commodities (Power, Gas, Heat Networks), designed to be extremely user friendly, friendly and time-saving, while remaining highly customizable for the most demanding users.
Our 3-step methodology lets you act on imbalance estimates by integrating successive market simulations and AI-driven optimizations, delivering increasingly precise and effective forecasts.
On top of this, a complete data management service keeps registry information, metering data and settlement data always available within an Open Data-based Data Lake (Gas e Power), where all imported or downloaded data remains available for download and accessible through A2A interfaces.
- Our algorithms deliver reliable, stable forecasts over both the short and long term, leveraging cloud speed and scalability for larger portfolio analyses.
- The calculation engines enable precise, automatic quantitative and qualitative customer clustering.
- Data is fully compatible with the exchange formats set by Italy’s energy and utilities regulator (ARERA) and by leading weather data providers.
- The platform gives you effortless intraday analysis of your portfolio
Thanks to the quality of our dedicated algorithms, you maximize your margins, reduce forecasting errors and improve decision-making.
Forecast Power
The service that manages the entire quarter-hourly data chain, from metering storage through to predictive models for consumption units.
→ Reduced imbalance costs
→ Automatic POD clustering
Forecast Gas
Forecast Gas
An intuitive solution for forecasting gas consumption units over the short, medium and long term, at both individual PdR and ReMi level (including sub-carriers).
→ Edig@s nomination management
→ Automatic PdR clustering
Volume & Revenue
A complete system for the economic analysis of your portfolios. Analyze custom groups of metering points, choosing between historical and forecast reporting.
→ Energy sold
→ Accrued and forecast revenue
→ Procurement cost
→ Physical hedging and imbalance
Edig@s Nominations
The Edig@s nomination solution connected to all major European TSOs. Automate and customize your processes through a single, centralized portal.
Customer Services
Encourage more sustainable behavior through a gamification mechanism that provides personalized advice based on consumption history and external variables (e.g. weather).
Market Access
Energy Trading Platform
Energy Trading Platform is a cloud application designed to facilitate participation in the Italian energy market. It guides you in creating and managing buy and sell offers across different markets to strengthen your short- and long-term strategies, keeping volatility and uncertainty under control through machine learning models and advanced data analysis.
→ Day-Ahead Market (DAM)
→ Intraday Market (IM)
→ Ancillary Services Market (ASM)
emira(beta)
Energy Market Intelligent Regulatory Assistant
emira is the AI-powered virtual assistant, ready to answer your questions.
Query it in natural language for support consulting all current resolutions and regulations.
Innovation ideas
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Next Best Action -
Know Your Customer -
Proposal Explainability -
Advanced Monitoring -
Digital Marketing
What is the next best action?
Sharing “best experiences” across the organization is crucial. This process can be supported by a recommendation system that helps identify the most effective next actions to take, applying the same criteria and approaches behind the identified best practices.
Thanks to AI, it is possible to efficiently leverage information contained in unstructured data sources (e.g., paper documents) to maximize customer lifetime value.
By enriching and aggregating available information, you can improve performance and reduce processing times.
How can you overcome data collection limitations?
Being a Predictive Company means using predictive models for every decision that can benefit from them.
→ For example, predicting how a customer will react to a market event can help anticipate that customer’s needs in specific circumstances. It can also help identify which customers or customer segments are likely to behave similarly, enabling you to recommend a more suitable action or product.
Can recommendation tools be understood and explained?
One of the most important aspects of models that generate recommendations is understanding their logic and, where possible, the reasons behind their suggestions.
Implementing AI algorithms that complement predictions by helping explain and interpret them can improve your work and enhance the customer experience.
Can decision efficiency be measured?
The success of a service also depends on the efficiency with which it is delivered. Data Envelopment Analysis (DEA) algorithms can help your business measure commercial and operational performance, identify benchmarks and best-in-class practices, and define commercial targets and budgets that are objectively achievable, measurable, and aligned with your potential.
→ Transparent and holistic multi-level assessment
→ Multi-input and multi-output analysis
→ Clear and transparent evaluation of clusters
→ Consideration of uncontrollable resources
→ Definition of cost/performance improvement targets
How can you maximize contacts and reach new customers?
Traditional marketing tools often struggle to transform structured and unstructured data into effective actions. Text analysis and interaction analysis, combined with the extensive use of Unsupervised Machine Learning techniques, are the foundation of a strategy capable of converting many more contacts into leads and new customers.
Activate multiple (dozens of) cluster analyses on texts and metrics.
A contact, lead, or customer can be included in different groups depending on the type of analysis and the messages to be addressed (e.g., an executive passionate about cooking may belong to a business group as well as a wine enthusiast group).
Next Best Action
What is the next best action?
Sharing “best experiences” across the organization is crucial. This process can be supported by a recommendation system that helps identify the most effective next actions to take, applying the same criteria and approaches behind the identified best practices.
Thanks to AI, it is possible to efficiently leverage information contained in unstructured data sources (e.g., paper documents) to maximize customer lifetime value.
By enriching and aggregating available information, you can improve performance and reduce processing times.
Know Your Customer
How can you overcome data collection limitations?
Being a Predictive Company means using predictive models for every decision that can benefit from them.
→ For example, predicting how a customer will react to a market event can help anticipate that customer’s needs in specific circumstances. It can also help identify which customers or customer segments are likely to behave similarly, enabling you to recommend a more suitable action or product.
Proposal Explainability
Can recommendation tools be understood and explained?
One of the most important aspects of models that generate recommendations is understanding their logic and, where possible, the reasons behind their suggestions.
Implementing AI algorithms that complement predictions by helping explain and interpret them can improve your work and enhance the customer experience.
Advanced Monitoring
Can decision efficiency be measured?
The success of a service also depends on the efficiency with which it is delivered. Data Envelopment Analysis (DEA) algorithms can help your business measure commercial and operational performance, identify benchmarks and best-in-class practices, and define commercial targets and budgets that are objectively achievable, measurable, and aligned with your potential.
→ Transparent and holistic multi-level assessment
→ Multi-input and multi-output analysis
→ Clear and transparent evaluation of clusters
→ Consideration of uncontrollable resources
→ Definition of cost/performance improvement targets
Digital Marketing
How can you maximize contacts and reach new customers?
Traditional marketing tools often struggle to transform structured and unstructured data into effective actions. Text analysis and interaction analysis, combined with the extensive use of Unsupervised Machine Learning techniques, are the foundation of a strategy capable of converting many more contacts into leads and new customers.
Activate multiple (dozens of) cluster analyses on texts and metrics.
A contact, lead, or customer can be included in different groups depending on the type of analysis and the messages to be addressed (e.g., an executive passionate about cooking may belong to a business group as well as a wine enthusiast group).
Full feature set
→ Complete registry management
→ Automatic upload of distributor meter readings
→ Automatic validation and cleansing process
→ Integration with Geo & Weather data
→ Automatic metering point clustering
→ Day-Ahead and Long-Term forecasting
→ Market and MGP price simulation
→ Grid imbalance correction
→ Heat Networks forecast, per single point or plant flange
→ Metering reconciliation
→ Portfolio monitoring
→ Coverage and expected margin assessment
→ Edig@s nominations
→ Natural-language queries on resolutions and documents
→ Forecasting and optimization of programmable and non-programmable production units
→ Forecasting and management of self-consumption and energy communities
→ End-customer services
Full feature set
Complete registry management
→ Automatic upload of distributor meter readings
→ Automatic validation and cleansing process
→ Integration with Geo & Weather data
→ Automatic metering point clustering
→ Day-Ahead and Long-Term forecasting
→ Market and MGP price simulation
→ Grid imbalance correction
→ Heat networks forecast, per single point or plant flange
→ Metering reconciliation
→ Portfolio monitoring
→ Coverage and expected margin assessment
→ Edig@s nominations
→ Natural-language queries on resolutions and documents
→ Forecasting and optimization of programmable and non-programmable production units
→ Forecasting and management of self-consumption and energy communities
→ End-customer services
