Autors: Hinova, I. S., Baeva, S. K.
Title: Common Methodology for Effectively Forecasting the Subscriber's Daily Natural Gas Consumption
Keywords: Demand planning, Load forecasting, Natural gas consumption, Operational efficiencies, Statistical processing, Stochastic optimization methods, Utility companies, Weather patterns

Abstract: Cutting costs and improving operational efficiency is something that energy and utility companies are continually working towards. It's a constant battle, and the work is never complete. Energy and utility companies must focus on longer-term goals to ensure appropriate hedging and maximize profitability, but the high-resolution accuracy provided by load forecasting limits the amount of money wasted in the short-term. This requires insight into expected seasonal weather patterns and accurate demand planning and any immediate changes in the approaching weather. This study proposes a common methodology for effectively forecasting daily consumption through the statistical processing of input data, and stochastic optimization methods are applied. The input data are certain indicators of the factors influencing the consumption process. These indicators are sampled in the stochastic process



    International Conference on High Technology for Sustainable Development, HiTech 2019, Sofia; Bulgaria; 10 October 2019 through 11 October 2019, vol. HiTech 2019, pp. Article number 9128238, 2019, Bulgaria, IEEE,

    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),, 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