{"id":32509,"date":"2024-04-15T10:52:31","date_gmt":"2024-04-15T08:52:31","guid":{"rendered":"https:\/\/digpro.com\/unkategorisiert\/analyzing-and-forecasting-electric-distribution-networks-part-1\/"},"modified":"2025-09-10T09:55:21","modified_gmt":"2025-09-10T07:55:21","slug":"analyzing-and-forecasting-electric-distribution-networks-part-1","status":"publish","type":"post","link":"https:\/\/digpro.com\/de\/blog-de\/analyzing-and-forecasting-electric-distribution-networks-part-1\/","title":{"rendered":"Analyzing and forecasting electricity distribution networks \u2013 part 1"},"content":{"rendered":"

By Jonas Jacobsson<\/p>\n

Production and consumption of energy have to go fossil free, and at the same time, almost everyone and everything are consuming a lot of energy. Much is being done to help consumers decrease this consumption, including using LED for illumination, recommending better insulation in buildings, and providing a host of devices suggesting for optimal energy use. Nevertheless, in industries, transportation and homes \u2013 the quantities of consumed energy are rather high. To reach the global goals of affordable and clean energy<\/a>, a lot has to change. Specifically, there needs to be a shift towards fossil free electric energy. Is it possible for us to make these changes less drastic by using existing infrastructure, providing that we use it in a smarter way? Let us consider what solutions already are here for electricity distribution companies, and ready to be utilized.<\/p>\n

How can we use existing electrical distribution networks better?<\/h2>\n

One of the greatest challenges we face today is that the electricity distribution networks were not built for the currently increasing consumption. Building new electricity distribution networks is a cumbersome process, which includes planning and investments for up to 50 years. So, what to do? At Digpro, our Network Information System (NIS) dpPower<\/a>, has tools that ensure that existing electricity networks are used in a smart way. It all comes down to balancing production and consumption, thus preventing overload and ensuring an electric network that has a levelled grid. We consider short- mid- and long-term forecasting, and how these are applicable as regards to electricity production and consumption. By establishing this, we can continue to use the electricity distribution networks we already have.<\/p>\n

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\"Digital
To analyze the electricity distribution network, a Digital Twin supports real-time operations, planned operations as well as investment decisions.<\/figcaption><\/figure>\n

Short- and mid-term forecasting<\/h2>\n

Short-term forecasting <\/strong>refers to what is happening now, within one hour or mostly two days. Mid-term forecasting <\/strong>brings us up to between one day and a month. An electricity distribution network is volatile, since it often relies on weather dependent sources when producing energy, as well as irregular consumer consumption. To simplify, one can say that:<\/p>\n