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03_Imagen_016_blog_mkt_Value_Stacking_BESS_2026

Value stacking in BESS: what determines battery profitability

The profitability of a battery depends both on its technical characteristics and on the decisions that determine how it is used. An energy storage system can charge when prices are low and discharge when they rise. It can also participate in…

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How to assess the viability of a green hydrogen project with Decision AI

Green hydrogen has become a major focus of the energy debate. Governments, industrial companies and energy producers are exploring its potential to replace fossil fuels in hard-to-electrify activities, from certain chemical processes to fertiliser production, refining and other energy-intensive industrial applications….

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Discover how AI accelerates efficiency and drives environmental sustainability

Energy efficiency is now a top priority for businesses, governments, and individuals alike. With growing concerns over today’s environmental challenges, reducing energy consumption and minimizing carbon footprints are more critical than ever—especially in the context of climate change and the 2050…

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Energy efficiency and data science: the essential combination for sustainability

Energy efficiency and data science: the essential combination for sustainability

The regulatory framework that puts on the table the 2030 agenda promotes an imminent transition to a more sustainable future. The link between energy efficiency and Artificial Intelligence (AI) is positioned as a promising fundamental alliance to transform the way we…

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Artificial vision in the energy sector

Artificial vision in the energy sector

Computer vision is a branch of artificial intelligence that focuses on training machines to interpret and understand the visual world in a similar way to how humans do. It uses algorithms and computational models to analyze and process images and videos,…

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Machine Learning applied to active demand response

Machine Learning applied to active demand response

The electrical grid is an incredibly complicated system. We have internalized that when we press a button a light turns on, therefore we do not stop to think about the technical and economic challenges behind to make it possible. A priori,…

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Advanced analytics in the energy industry: opportunities and challenges in Spain

Advanced analytics in the energy industry: opportunities and challenges in Spain

The energy industry is one of the most important sectors of the Spanish economy. In 2022, the sector represented 11.6% of national GDP and 14.3% of employment. However, the sector is also one of the most energy-intensive, which poses a challenge…

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Artificial Intelligence applied to wind energy.

Artificial Intelligence applied to wind energy.

Discover how AI is transforming the way we sustainably manage and optimize our energy infrastructure. In recent years, the Spanish energy industry has experienced a series of significant changes; where decarbonization, digitalization and decentralization are the main trends that are transforming…

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The Spanish energy industry in the age of AI.

The Spanish energy industry in the age of AI.

The energy industry in Spain is a key sector for the national economy, as it represents around 10% of GDP and employs more than 200,000 people. In recent years, the Spanish energy industry has experienced a series of significant changes; where…

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decisions

How to deal with uncertainty in the optimization of energy trading decisions

One of the most important challenges that Energy Trading departments face is how to deal with uncertainty regarding purchase and sale decisions. In this post we will explain, with a very simple example, what it entails to optimize these decisions in…

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