#Artificial Intelligence
Artificial Intelligence (AI) is a branch of computer science that enables machines to learn to perform autonomous tasks and make decisions. In renewable energy, AI optimises the use of resources such as wind and sun, adjusting systems in real time to maximise efficiency, reduce waste and ensure constant and sustainable supply.
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Artificial intelligence (AI) is transforming the electricity sector, making networks more efficient, secure and sustainable. Thanks to AI, companies can anticipate issues, optimise resource use and ensure that electricity reaches your home or business more reliably and at a lower cost. AI is also a key tool in the global fight against climate change. It can make a significant contribution both to reducing greenhouse gas emissions and to adapting to the impacts of climate change. By optimising electricity systems, improving energy efficiency and enabling large-scale integration of renewable energy, AI directly supports economic development.
The digital age has brought about a revolution at every level. Technology is advancing at a dizzying pace, transforming industries, services and human relationships. But how is all this information protected in a hyperconnected world?
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Green artificial intelligence has emerged as one of the main mitigation pathways that take into account the carbon footprint generated by conventional AI. Its goal is not only to minimise its own impact but also to maximise the usefulness of AI algorithms in the fight for sustainability.
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Facebook The convergence of artificial intelligence and sustainability: green artificial intelligence
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i-DE, Iberdrola’s electricity distribution company in Spain, is a global pioneer in implementing the full BIM workflow for the design and construction of power lines and substations.
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Imagine a world where a machine could perform any task that a human being can. Tasks that involve reasoning, problem-solving and decision making, as well as the ability to understand nuance, emotion and ethics. Well if the predictions of researchers come true, that is exactly what we could see in the years to come, as artificial intelligence takes a huge leap into the future to become Artificial General Intelligence (AGI). That is why it is important to know and understand these advances in order to deploy and adopt them in a controlled and ethical way in our lives.
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The transition towards a more flexible, multidirectional, digital and resilient electricity system requires the efficient integration of all energy resources.
In order to anticipate the demands that will occur with the change of energy model, Iberdrola has launched the Centre of Excellence in Artificial Intelligence − an initiative created within the scope of the IA4TES project (Artificial Intelligence for Sustainable Energy Transition). With its physical headquarters in San Agustín del Guadalix (Madrid), the centre stands out for, among other things, research and testing of disruptive AI technologies with a focus on the energy sector.
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Facebook An innovative centre for research into Artificial Intelligence applied to the energy sector
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In recent decades we have witnessed an exciting evolution of artificial intelligence, together with our own social and technological evolution. A path along which different types of artificial intelligence have been developed at the same time as its most varied applications have been put into practice.
Exploring the fascinating world of artificial intelligence requires, above all, delving into the diversity of its algorithms. From supervised learning, which serves as the basis for recommendation systems, to reinforcement learning – used to improve the response of dialogue systems such as chatbots. Discover the types of algorithms that AI uses to transform our technological environment.
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While it might sound like something from a futuristic film, artificial intelligence (AI) is a field that is deeply embedded in our everyday lives. The idea of machines capable of imitating human intelligence is more than a century old, but it has advanced significantly in recent years. Today, AI is present in many aspects of our daily lives, often without us noticing. Discover what artificial intelligence is, what it is used for, what its risks and challenges are and what we expect from it in the future.
Iberdrola's Global Smart Grids Innovation Hub, located in Bilbao, is consolidating its position as a global centre of innovation and knowledge in smart grids to help respond to the challenges of the energy transition. The centre acts as a driving force for innovation, combining Iberdrola's technological capacity with that of more than 125 collaborating entities and companies.
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Facebook Global Smart Grids Innovation Hub: Changing the present to lead the future in smart grids
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Successive digital innovations in the 21st century have driven cloud computing technology, which allows remote access to different software via the Internet.
A smart meter provides detailed information on consumption in order to reduce electricity bills and also increase knowledge about the status of the electricity grid, which improves its performance and the quality of service for customers. As part of the evolution towards a smart grid, Iberdrola has installed and continues to install millions of these devices in all the countries in which it operates distribution networks.
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Humans use our eyes to understand the world around us. Artificial vision is a scientific discipline that aims to enable computers to achieve the same capacity, i.e. it tries to ensure that machines can perceive and understand one or more images and act in a certain way. Below, we review some of its applications.
Predictive analytics uses statistical modelling techniques, big data and machine learning to extract historical data and make predictions. In the business world, it is a highly valued technique because of the benefits it can bring in terms of identifying risks and opportunities, for example. Its application ranges from e-commerce to energy, finance and insurance, among others.
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On 10 September 2024, a Space X rocket took off from Florida, in the US, carrying billionaire Jared Isaacman into space. A few years earlier, on 20 July 2021, Jeff Bezos, founder and CEO of Amazon, took off into space on board the New Shepard. Just days earlier, Richard Branson, founder of Virgin Group, achieved the milestone that is paving the way for space tourism, albeit only for multimillionaires. Let's travel into the past to learn about history's earliest examples of space tourism, and then look to the future to glimpse what might be on the horizon for this booming industry.
Just as in your life you have an identity that defines you and differentiates you from others according to your name, traits, personal characteristics, acts... On the Internet you also have what is known as digital identity.
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Deep learning, which is based on a set of algorithms related to machine learning and whose real-world applications are increasingly tangible (prediction of business results, evolution of virtual assistants, analysis of medical images, etc.), has attracted the attention of companies for its ability to get the most out of artificial intelligence.
Natural language processing (NLP) brings together two disciplines as apparently distant as linguistics and artificial intelligence. Today, this field of computer science, which consists of transforming natural language into a formal language — such as programming — that computers can process, is constantly evolving and its applications are growing.
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Self-driving cars, assistants that translate instantly from one language to another or personalized purchase suggestions. Complex tasks that were once a distant dream are now possible thanks to Machine Learning, a discipline that enables computers to learn by themselves and perform tasks autonomously without the need for explicit programming.
MeteoFlow is an integrated system for forecasting medium- and long-term meteorological variables at any type of renewable facility. Developed entirely by our meteorological forecasting experts within the Power business, the programme has been innovating for more than 15 years to adapt to the sector’s new challenges and has become a benchmark, achieving accuracy rates above those of the solutions currently available on the market.
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The application of big data to curb global warming and protect the environment is known as green data. This technology can help optimise the efficiency of the energy sector, make businesses more sustainable and create smart cities, among others.
Artificial intelligence has long since abandoned the realm of science fiction and is quietly sneaking into our lives. Although still at a very early stage, is laying the foundation to lead a revolution comparable to that generated by the Internet. Its applications in multiple sectors — such as health, finance, transport and education, among others — have prompted the European Union to develop its own Robotics Laws.
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Drones that monitor hundreds of acres to assess the health of crops and animals, smart sensors to help in the early detection of infestations, and automatic systems that water, fertilise and fumigate each plot depending on its specific characteristics and on the weather forecast. These are just some of the virtues of smart farming - the concept that may help to eradicate hunger in an over-populated future.
Wind turbines, engines or cranes can have a virtual replica that enables to prevent possible problems or risks and to experiment without compromising their operation before implementing new functionalities. It is not science fiction, they are digital twins, a disruptive technology that will be vital in the rise and progression of the Fourth Industrial Revolution.
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More than 75 billion devices are connected to the Internet of Things — IoT — and this figure is set to triple in just three years. Objects will become smart and the world will undergo a fourth industrial revolution.
Industry 4.0 is the origin of a new revolution — the much-hailed Fourth Industrial Revolution — a fusion of leading-edge production techniques and smart systems that integrate with organisations and people. Come with us on a journey through the technologies driving this process and its accelerating advance.
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Artificial intelligence is set to accelerate the global adoption of autonomous vehicles, technology that is already in operation under controlled conditions in the United States, China and Europe. To become a widespread reality, manufacturers face the challenge of guaranteeing maximum safety for future buyers and users.
Robots and humans can work together like colleagues thanks to the boom in collaborative robots. The use of cobots in industry is changing production processes because unlike industrial robots, they work efficiently, safely and skilfully with other employees on all types of tasks.
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Until not long ago, art was a skill inherent to the human being, and therefore, inaccessible to machines. The appearance and evolution of Artificial Intelligence forces us to reconsider whether painting, composing or writing is still the exclusive heritage of humanity. The debate is now open.
The energy sector is undergoing a full transition towards a smarter and more sustainable model. Driven by innovation and digitalisation, this process has as its main aim the protection of both the planet and people.