Zobrazeno 1 - 10
of 170
pro vyhledávání: '"Pavlos S. Georgilakis"'
Autor:
Ioannis K. Bazionis, Markos A. Kousounadis-Knousen, Vasileios E. Katsigiannis, Francky Catthoor, Pavlos S. Georgilakis
Publikováno v:
IEEE Access, Vol 12, Pp 43704-43720 (2024)
Probabilistic forecasting models have been developed over the past years in order to aid in the estimation of the uncertainty of the predictive results. A hybrid, bootstrapping long-short term memory (Boot-LSTM)-based model is proposed in this paper,
Externí odkaz:
https://doaj.org/article/4be64ac599c745cdab9429a83c28e47d
Autor:
Ioannis K. Bazionis, Markos A. Kousounadis‐Knousen, Pavlos S. Georgilakis, Elham Shirazi, Dimitrios Soudris, Francky Catthoor
Publikováno v:
IET Renewable Power Generation, Vol 17, Iss 9, Pp 2411-2432 (2023)
Abstract A review of the state‐of‐the‐art in short‐term Solar Power Forecasting (SPF) methodologies is presented in this paper. Over the last few years, developing and improving solar forecasting models has been the main focus of researchers,
Externí odkaz:
https://doaj.org/article/15807277494a4330a6a818f3e0fdd206
Autor:
Markos A. Kousounadis-Knousen, Ioannis K. Bazionis, Dimitrios Soudris, Francky Catthoor, Pavlos S. Georgilakis
Publikováno v:
IEEE Access, Vol 11, Pp 84885-84899 (2023)
Wind power generation is characterized by high intermittency and volatility owing to the stochastic nature of wind. In addition to forecasting accuracy, forecasting uncertainty quantification can have a major impact on power system energy management
Externí odkaz:
https://doaj.org/article/ef025a8142a14b26a103358c29399d64
Publikováno v:
IET Renewable Power Generation, Vol 16, Iss 1, Pp 65-76 (2022)
Abstract This paper proposes a multistage distribution network planning (DNP) method that considers multiple planning alternatives, the active management of distributed generation (DG) units and demand response in the context of active distribution n
Externí odkaz:
https://doaj.org/article/32f1942afe9b4e56a5e0e79f2a870ac7
Publikováno v:
IET Renewable Power Generation, Vol 16, Iss 1, Pp 77-91 (2022)
Abstract A review of state‐of‐the‐art short‐term wind power probabilistic forecasting models is the focus here. The improvement of the accuracy and efficiency of probabilistic forecasting models has been in the centre of attention of research
Externí odkaz:
https://doaj.org/article/e70620e3da3a4278a3144bb4144817c8
Autor:
Markos A. Kousounadis-Knousen, Ioannis K. Bazionis, Athina P. Georgilaki, Francky Catthoor, Pavlos S. Georgilakis
Publikováno v:
Energies, Vol 16, Iss 15, p 5600 (2023)
Scenario generation has attracted wide attention in recent years owing to the high penetration of uncertainty sources in modern power systems and the introduction of stochastic optimization for handling decision-making problems. These include unit co
Externí odkaz:
https://doaj.org/article/32b4999f8fb641ff97e416ae0123ad30
Autor:
Pavlos S. Georgilakis, Charalampos Arsoniadis, Christos A. Apostolopoulos, Vassilis C. Nikolaidis
Publikováno v:
IET Smart Grid, Vol 4, Iss 4, Pp 397-413 (2021)
Abstract The fundamental goal of the distribution system operator (DSO) is to serve its customers with reliable and low‐cost electricity. Failures in power distribution systems are responsible for 80% of customer service interruptions. The emergenc
Externí odkaz:
https://doaj.org/article/43cc268d8f04459a91f30b5bbcdbb19c
Publikováno v:
IEEE Access, Vol 8, Pp 38855-38871 (2020)
Over the last years, the role of the distribution system operator (DSO) has largely expanded. This is necessitated by the increased penetration of intermittent energy resources at the distribution level, as well as the new, more complex interactions
Externí odkaz:
https://doaj.org/article/d2711b3b402f44f39af65d5477e2aa49
Publikováno v:
Energies, Vol 15, Iss 6, p 2211 (2022)
Power distribution networks at the distribution level are becoming more complex in their behavior and more heavily stressed due to the growth of decentralized energy sources. Demand response (DR) programs can increase the level of flexibility on the
Externí odkaz:
https://doaj.org/article/ce9ecb7888cb455a99745e672831a296
Autor:
Ioannis K. Bazionis, Markos A. Kousounadis-Knudsen, Theodoros Konstantinou, Pavlos S. Georgilakis
Publikováno v:
Energies, Vol 14, Iss 18, p 5942 (2021)
Deterministic forecasting models have been used through the years to provide accurate predictive outputs in order to efficiently integrate wind power into power systems. However, such models do not provide information on the uncertainty of the predic
Externí odkaz:
https://doaj.org/article/0715dddf46e548efa4d98bba0a847a22