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 intelligence

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

    2020 III International Conference on High Technology for Sustainable Development (HiTech), 2021, Bulgaria, IEEE, Electronic ISBN:978-1-7281-8651-1; CD:978-1-7281-8650-4; Print on Demand(PoD); ISBN:978-1-7281-8652-8; DOI: 10.1109/HiTech51434.2020.9363975

    Copyright IEEE

    Цитирания (Citation/s):
    1. Georgi Chankov, “Implications for the EU of the Suspension of Oil and Gas Supplies from Russia - Alternatives in the Extended Black Sea Region”, 2022 10th International Scientific Conference on Computer Science (COMSCI), https://doi.org/10.1109/COMSCI55378.2022.9912581, Electronic ISBN:978-1-6654-9777-0, CD:978-1-6654-9776-3, Print on Demand (PoD) ISBN:978-1-6654-9778-7, IEEE, 2022 - 2022 - в издания, индексирани в Scopus или Web of Science

    Вид: пленарен доклад в международен форум, публикация в реферирано издание, индексирана в Scopus