| Autors: Hinova, I. S., Baeva, S. K., Popov, S. A. Title: A Brief Overview of the Some Forecasting Methods in Energetics Keywords: energy , forecasting , mathematical models , artificial inte Abstract: The planning of energy production and consumption is of great importance for providing both a sustainable economic growth and a clean environment. Accurate short-term forecast in the energy sector is a necessary condition for meeting the energy needs and making long-term strategies for developing the energy capacities and policies. The choice of forecasting model is based primarily on the availability of data. The fundamental provision of efficient forecasting models is based on load balancing, energy trade and network integration. This research presents a brief overview of the mainly applied forecasting methodologies as a set of physical and mathematical models and artificial intelligence in the last twenty years. References Issue
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Цитирания (Citation/s):
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Вид: пленарен доклад в международен форум, публикация в реферирано издание, индексирана в Scopus
