In response to the urgent demand for grid stability and the complex challenges posed by renewable energy integration and electricity market dynamics, the power sector increasingly seeks innovative technological solutions. In this context, large language models (LLMs) have become a key technology to improve efficiency and promote intelligent progress in the power sector with their excellent natural language processing, logical reasoning, and generalization capabilities. Despite their potential, the absence of a performance evaluation benchmark for LLM in the power sector has limited the effective application of these technologies. Addressing this gap, our study introduces "ElecBench", an evaluation benchmark of LLMs within the power sector. ElecBench aims to overcome the shortcomings of existing evaluation benchmarks by providing comprehensive coverage of sector-specific scenarios, deepening the testing of professional knowledge, and enhancing decision-making precision. The framework categorizes scenarios into general knowledge and professional business, further divided into six core performance metrics: factuality, logicality, stability, security, fairness, and expressiveness, and is subdivided into 24 sub-metrics, offering profound insights into the capabilities and limitations of LLM applications in the power sector. To ensure transparency, we have made the complete test set public, evaluating the performance of eight LLMs across various scenarios and metrics. ElecBench aspires to serve as the standard benchmark for LLM applications in the power sector, supporting continuous updates of scenarios, metrics, and models to drive technological progress and application.

It is a well-known fact that the power sector is one of the most diversified sectors in the world. It is on the verge of a massive challenge or change in the nearby future. It all depends on how the power sector companies decide on the area of operations, protection of the environment, and many more other factors. The power sector needs to focus on environmental protection as well as updated cutting-edge technologies to modify traditional business policies. There are some international power sector trends that are going on amidst the COVID-19 pandemic such as a massive drop in electricity usage in industrial sectors, faster adoption of solar panels, flexibility for electricity security, and so on.

AI applications are transforming business operations and processes in the power sector as well as the broader economy, leading to greater cost savings, increased efficiency and new services for consumers. But further developments rely on the ability to foster and support innovation, addressing outstanding matters related to investments, data access and governance, as well as ethics. By 2025, 81% of the energy companies will have adopted artificial intelligence, reaping the numerous benefits of accelerated developments in this field and fast tracking the clean energy transition. This is according to an assessment released by Eurelectric, AI Insights: The Power Sector in a Post-Digital Age. First, AI can enable a faster decarbonisation of the power sector.

Artificial intelligence is changing the world but is it for the better? Tamara McCleary, CEO at Thulium, argues that Europe's power sector has a crucial role to play in leading the responsible application of AI. It will come as no surprise to hear that artificial intelligence is used in some of the most exciting technologies coming to the fore in the 21st century. After all, there's nothing new about dreams of technological utopias, populated by machines that anticipate and cater to our every need. Machines that empower us to do more of what we really value, better.

Artificial intelligence (AI) is changing the world, but is it for the better? Here, Tamara McCleary, CEO at Thulium, argues that Europe's power sector has a crucial role to play in leading the responsible application of AI. It will come as no surprise to hear that AI is used in some of the most exciting technologies around today. After all, the idea of a world populated by machines that cater to our every need has long been utopian. And now these visions look increasingly achievable.

Technological advances like artificial intelligence, machine learning and big data are impacting the power sector as well, making it imperative for producers to re-skill resources, a senior official of Tata Power said. "With technological disruptions like artificial intelligence, machine learning, big data, augmented reality etc. that are impacting the power sector as well, it has become imperative to re-train and re-skill resources for emerging careers where the demand is more than the supply," Tata Power Chief Human Resource Officer Jayant Kumar said. Addressing the seventh Power HR Round Table organised by the University of Petroleum & Energy Studies (UPES), Kumar said, "Curiosity, courage and comfort with technology are the traits of a future digital worker." CEOs and HR heads of leading Indian companies in the power sector such as Tata Power, Power Grid, GMR Energy, Adani Green Energy, and DB Power deliberated on various challenges faced by the sector today and possible solutions, UPES said in a statement. "Power distribution companies (Discoms), due to their nature of work, have access to huge consumer data and they can use this data to foray into other allied businesses just the way cab aggregators are delivering food or e-commerce companies providing video-on-demand services," Ashis Basu, CEO (Corporate), GMR Energy, suggested.