HEИндивидуална стипендия2022–2024

NETOPT · Modeling and forecasting supply networks using functional time series and mathematical programming

„Хоризонт Европа“ — Действия „Мария Склодовска-Кюри“

Период
2022-09-01 → 2024-08-31
Финансиране от ЕС
173 847 €
Участници
1
Схема
HORIZON-TMA-MSCA-PF-EF

Линиите свързват координатора с партньорите.

Накратко на български

Енергийните мрежи за природен газ се анализират чрез математически модели, за да се предвиди точното търсене и предлагане. Това помага на операторите да разпределят ресурсите по-ефективно и да реагират по-бързо при сривове в доставките.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

Modeling and forecasting supply networks using functional time series and mathematical programming

As the global energy landscape evolves in response to rising demands and geopolitical uncertainties, the need for reliable forecasting models becomes increasingly critical. In Europe, where natural gas is a cornerstone of the energy supply, accurately predicting supply and demand dynamics across an extensive pipeline network is essential for economic prosperity and environmental sustainability. This project aims to develop a large-scale functional network time series model that incorporates balance constraints, contributing to a more efficient and environmentally friendly energy distribution system aligned with the European Strategic Energy Technology Plan (ESETP). The motivation behind this initiative stems from real-life energy forecasting challenges that require enhanced efficiency and sustainability. Transmission system operators (TSOs) face the pressing need to effectively plan for energy supply and demand balances. However, current forecasting methods often struggle to capture the complexities of dynamic energy networks. Additionally, classical continuous optimization methods can be computationally expensive, complicating the task of estimating to optimal solutions. To tackle these issues, we build a large-scale functional network time series model with balance constraints that employs a mathematical programming approach, enhancing the connection between statistical learning and operational research techniques. This dynamic model enables TSOs to interpret the underlying dynamics of the network while effectively maintaining the balance between supply and demand. This approach allows for better resource allocation and risk management, enabling TSOs to respond proactively to potential disruptions in the energy network. The methodologies developed here can also be adapted for other large-scale networks, including water and renewable energy systems, further promoting sustainability and efficiency. Ultimately, this initiative promises to enhance the stability of the European energy market, benefiting individual countries and the broader energy community. By fostering a more stable and secure energy future, the project aligns with strategic goals of energy security and sustainability at both national and regional levels.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

In NETOPT, we will develop an innovative high-frequency forecasting model that analyses complex spatial and temporal dynamics in large-scale networks under demand and supply constraints. Using supply networks as an example, NETOPT aims to model and forecast large-scale network flows using a Functional Time Series (TS) and Mathematical Programming (MP) approach. The network model proposed in NETOPT can optimize decision planning and efficient scheduling by reducing financial and technical risks in transmission and distribution networks, such as gas and water networks. To demonstrate the practical effectiveness of our new approach, we will implement models to describe and predict hourly gas flows for several days ahead in the German high-pressure gas transmission network using real-world data. Efficient prediction and interpretation of the complex dynamics in transport and distribution networks is a crucial component of an intelligent decision support system that helps to reach the climate targets of the European Green Deal in a fair, cost-effective, and competitive way.

Оригинален текст от CORDIS (на английски).

Участници

Връзки

Данни: CORDIS, © Европейски съюз