what is the goal of DREOS energy?

Before explaining our role in sustainable development, let's briefly explain what is meant by sustainable development.
There are different definitions: the most appropriate is a development that satisfies the needs of the present without compromising the possibility of future generations to satisfy their own needs.
This definition was then made more detailed in 1991 by Herman Daly, known for being one of the leading ecological economists, who helped to develop the reference guide to sustainable development policy.
It was he, in fact, who brought sustainable development back to three conditions:

1) the utilization rate of renewable resources must not be higher than their regeneration rate
2) the release of polluting substances and waste into the environment must not exceed the carrying capacity of the environment itself
3) the stock of non-renewable resources must remain constant over time

With DREOS Energy, what we do (which is and will always be our goal) is to allow future generations to have available a technology that is able to help the planet by increasingly promoting sustainable development.
Our technology helps to reduce pollution, to identify ever new and efficient methods for using renewable sources, to make cities ever smarter and greener, to reduce the production of Co2 by companies and a lot more.

Because DREOS is a sustainable technology

Artificial Intelligence requires the use of ever more powerful and performing hardware resources every day in order to generate results that are accurate and reliable, reliability which becomes more and more important every day in order to be able to solve increasingly complex problems.
This means an increase of environmental pollution produced by these resources.
The ability of our technology to perform complex calculations generating extremely accurate and reliable results using a lower amount of resources as well as reducing the production of Co2 allows many more companies (startups, Small Medium Enterprise, individuals) to have access to truly advanced technology.

Optimization algorithms

DREOS uses a map of neural networks connected to each other and in continuous communication which allows perfect optimization of the algorithms associated with each cognitive process used in its life cycle.
This allows our technology to work very well on non-latest generation hardware or using a reduced amount of resources, thus reducing the production of Co2.
(click here if you want more information about our algorithms)

Technology accessible for everybody

The social aspect is often overlooked when thinking about the progress that can be made thanks to technology. Access to quality care, financial inclusion, digital democratization (access to technology for more people), healthcare technologies and data security are interesting topics.
Neglect of these issues is often associated with the difficulty of using technologies or high management costs.
DREOS tries in every way to break down these walls by simplifying the use of technology and reducing management costs thanks to optimization processes, which allow for less rigidity in the choice of hardware and considerable energy savings.

what can DREOS Energy do?

There are many contributions that our technology can offer for an important Sustainable Development. Here are some examples. Stay up to date on our projects, our studies, our ideas at the following link (in updating).

improve self-driving technologies

Self-driving cars are now a reality. In addition to looking for the solution to all the problems still associated with autonomous driving (driving in adverse weather conditions, dirty camera, pedestrian safety, important choices to be made in a very short space of time) DREOS Energy work on the study and creation of emission models for vehicles autonomous vehicles, network models of autonomous vehicles, algorithms for route selection and the study of the impact of autonomous vehicles on social interactions.

development of renewable energies

The potential of Artificial Intelligence applications for the development of renewable energies is immense: they can make it possible to make the most of the functioning of the plants by predicting the weather conditions in advance such as the exposure of the photovoltaic surfaces to the sun, the direction and power of the winds in the case of wind or the rainfall index for hydroelectric. But they can also help manage the supply of energy for domestic users in city districts, optimizing the entire distribution network. This and much more is what we do using DREOS Energy.

Energy insight solutions

Companies must strike the right balance between three priorities: reducing emissions, cost efficiency and managing energy risk. Having a structured plan can help give the right importance to each of the three areas. However, you need to consider which energy approaches and technologies are best suited to your business goals.
DREOS Energy helps companies to create the right path for the reduction of CO2 emissions both based on the information associated with the company and on human behavior within the company.

Smart cities

The smart city is a new idea of urban reality that manages resources intelligently, aiming to become economically sustainable and energy self-sufficient, in order to improve the quality of life of its citizens.
However, the smart city is not only an urban area in which technological innovation guarantees greater economic efficiency and a reduction in costs: smart cities, in fact, are also the place capable of relating material infrastructures with human capital , intellectual and social that assumes a central role within an intelligent urban planning model. DREOS Energy work on the development of technologies which, in addition to working on technological innovation, create strategies suited to the right relationship between technology and costs.

Sustainable consumption and production models

The resources consumed by the world's population are more than those that ecosystems are able to provide. In order for social and economic development to take place within a framework of sustainability, our society will have to radically change its way of producing and consuming goods. The aim is to adopt an environmentally friendly approach to chemicals and waste. The volume of waste will have to be significantly reduced, among other things through recovery. Businesses will need to be encouraged towards sustainable business management.
DREOS Energy, taking advantage of strong artificial intelligence, can help identify new recycling and recovery methods or create customized business models capable of helping companies achieve sustainable management.

Which DREOS AI algorithms or cognitive processes are used by DREOS Energy?

DREOS energy is a DREOS AI technology module: this means that it uses all the algorithms, neural network maps, cognitive processes (which you can see in detail by clicking here), training and learning methods (which you can see in detail by clicking here) of the main technology but with a specific focus on Sustainable Development.
This happens by assigning a higher priority to certain cognitive processes (or algorithms) than others, as they are fundamental for the correct execution of its tasks.
These listed are the 3 cognitive processes with maximum priority used by DREOS energy and the approach algorithms used.
The training has as its goal the study of any methodology can be useful for Sustainable Development.


The emotional process is necessary for the Dreos energy module to learn the extreme danger of environmental pollution and the extreme importance of Sustainable Development.
Dreos Energy understands that neglecting our ecosystem, our environment, our world as well as damaging us will damage future generations. This leads our system to learn human emotions after having predicted hypothetical damage caused by pollution: it begins to the most suitable strategies, the most correct methodologies of use of material resources and how to make the most of renewable energies.

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The prediction process is a FUNDAMENTAL process used by the entire DREOS AI technology.
The algorithms of this process allow our technology to both make predictions and run simulations within the predictions created.
In the field of sustainability, the first step is the study of the information necessary for prediction: study of the current strategies used, study of material infrastructures used by Smart City, study of used renewable sources.
Once this information has been learned, the system begins to predict its evolution in a given period of time (for example possible evolution of Smart City or An innovative methodology of use of renewable sources).
These forecasts will be nothing but life scenarios that can be real or not, but are equally taken into consideration as probable strategies to improve our ecosystem.

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The creativity process is a FUNDAMENTAL process used by the entire DREOS AI technology.
The algorithms of this process allow our technology to have ideas, intuitions. To think just like a human mind.
In the field of sustainability, this process allows our system to create any type of scenario or context in which pollution reaches high levels (let's assume scenarios in which companies prefer the use of a technology rather than energy saving or the production of Co2 , to an incorrect use of renewable sources or even to a high use of non-renewable sources).
The creation process combined with the prediction process will allow DREOS energy to create strategies suitable for the exploitation of renewable sources, business plans, business models that will be simulated within the created scenarios and will evaluate their impact.
This allows our technology to generate results with high accuracy that can be fundamental both for companies and for our ecosystem.

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The approaches are a particular algorithms created by us that allow us to specify the learning methodologies of our Strong Artificial Intelligence based on the study or the goal it is working on.
There are several types of approaches that we have created for DREOS AI (you can view them at the following link). The approaches used by DREOS energy are the mathematical, statistical and physical approach.
1) The mathematical approach allows the system to reason in a logical and rational methodology and therefore allows to create strategies, calculate extremely accurate probabilities and create action plans for companies that take into consideration any possible variable;
The statistical approach makes it possible to compare the outputs generated or the information acquired with each other in order to always make the best choice;
The physical approach is associated with the physical study of renewable sources: studying the physical processes associated with sunlight, wind, the water cycle, tides, waves or geothermal heat allows you to learn the best methodology for exploiting renewable sources.