Next-Level Electric Power Intelligence: Ensuring Resilience at the Tactical Level

Since 2014, Russia has launched extensive cyber and kinetic attacks on Ukraine's energy infrastructure. These efforts are designed not only to apply psychological pressure on the population but also to inflict significant material damage on the country's economy by causing cascading effects across multiple sectors. Additionally, they aim to influence nations that rely on energy exports from Ukraine. In 2024, Ukraine gained the capability to strike the fuel and energy complex of its adversary, which similarly impacts these critical factors. Notably, the success of any such operation depends on high-quality intelligence, including assessing potential effects and identifying vulnerabilities.This article examines research focused on energy intelligence and defines the concept as the systematic process of gathering and analyzing information on countries' energy resources, markets, policies, and technologies. This process enables the evaluation of economic and security impacts on a global or strategic scale. The goal of the research is to develop a method for the structural identification of military targets based on energy consumption, emphasizing the need for robust cybersecurity measures. This approach aims to enhance the accuracy of target detection and informs future research directions in the field of military energy intelligence at the same time based on energy consumption analysis, aiming to enhance energy efficiency, resilience, and security, and reduce operational costs. The article outlines the key objectives of energy intelligence, which include systematically collecting and analyzing data on energy resources, markets, and policies to understand their influence on business decisions, economic conditions, and security considerations through in-depth analysis of energy trends and geopolitical risks.The article explores the concept of next-generation electric power intelligence, focusing on enhancing resilience at the tactical level. It provides a classification of energy intelligence and identifies its main types. The discussion extends to various intelligence-gathering methods, including SIGINT, IMINT, OSINT, HUMINT, and EXIMINT, which are employed to collect and analyze data on energy systems and resources. Special attention is given to military energy intelligence, underlining its critical role in armed conflicts. A significant contribution of the article is the development of a method for the structural identification of military targets based on energy consumption patterns, aimed at improving tactical resilience and precision in modern combat situations. Overall, the article underscores the importance of an integrated approach and the involvement of various stakeholders to enhance the effectiveness of next-level electric power intelligence.