Zobrazeno 1 - 10
of 236
pro vyhledávání: '"Marco Mussetta"'
Autor:
Marco Mussetta, Xuan Chau Le, Trung Hieu Trinh, Anh Tuan Doan, Minh Quan Duong, Gabriela Nicoleta Tanasiev
Publikováno v:
Energies, Vol 17, Iss 16, p 3947 (2024)
With the explosion in energy consumption demand, the deep penetration of renewable energy into the grid is inevitable and has become trend across the world today. Microgrids with integrated renewable energy are the core components of smart grids and
Externí odkaz:
https://doaj.org/article/3db7cb7a9eff48cc9f249c9b2a72dcec
Publikováno v:
Forecasting, Vol 5, Iss 2, Pp 390-404 (2023)
Understanding how, why and when energy consumption changes provides a tool for decision makers throughout the power networks. Thus, energy forecasting provides a great service. This research proposes a probabilistic approach to capture the five inher
Externí odkaz:
https://doaj.org/article/a96e888c11704391911d5044da940738
Publikováno v:
Forecasting, Vol 4, Iss 1, Pp 149-164 (2022)
Electrical load forecasting study is required in electric power systems for different applications with respect to the specific time horizon, such as optimal operations, grid stability, Demand Side Management (DSM) and long-term strategic planning. I
Externí odkaz:
https://doaj.org/article/b6ee750e793a4b1290197646b67b2a77
Publikováno v:
IEEE Access, Vol 10, Pp 32900-32911 (2022)
Day-ahead power forecasting is an effective way to deal with the challenges of increased penetration of photovoltaic power into the electric grid, due to its non-programmable nature. This is significantly beneficial for smart grid and micro-grids app
Externí odkaz:
https://doaj.org/article/9b0d0d0e49e34c6ca57ae7cb2d50b352
Autor:
Emanuele Ogliari, Alfredo Nespoli, Marco Mussetta, Silvia Pretto, Andrea Zimbardo, Nicholas Bonfanti, Manuele Aufiero
Publikováno v:
Forecasting, Vol 2, Iss 4, Pp 410-428 (2020)
The increasing penetration of non-programmable renewable energy sources (RES) is enforcing the need for accurate power production forecasts. In the category of hydroelectric plants, Run of the River (RoR) plants belong to the class of non-programmabl
Externí odkaz:
https://doaj.org/article/eec7e303be094ea7ad04d5757f450ec6
Publikováno v:
IEEE Access, Vol 8, Pp 194428-194440 (2020)
Energy systems around the world are undergoing substantial changes, with an increasing penetration of Renewable Energy Sources. For this reason, the availability of a pool of suitable forecasting models specific for the needed time horizon and task i
Externí odkaz:
https://doaj.org/article/e9dd3af9f95f4184b0748273fec27dbb
Publikováno v:
Applied Sciences, Vol 13, Iss 3, p 1368 (2023)
This paper proposes an energy management system based on an Artificial Neural Network (ANN) to be integrated with the standard ISO 50001 and aims to describe the definition and the enhancement of the energy baselines by means of artificial intelligen
Externí odkaz:
https://doaj.org/article/d6262b3700624e919c55004fd8be30dd
Publikováno v:
Mathematics, Vol 10, Iss 1, p 33 (2021)
Reflectarray antennas are low-profile high-gain systems widely applied in the aerospace industry. The increase in their application is leading to the problem of getting more advanced performance while keeping the system as simple as possible. In thes
Externí odkaz:
https://doaj.org/article/b070ba3da27140168c0872ca064ae24b
Publikováno v:
Mathematics, Vol 9, Iss 11, p 1251 (2021)
Fluorescent penetrant inspection (FPI) is a well-assessed non-destructive test method used in manufacturing for detecting cracks and other flaws of the product under test. This is a critical phase in the mechanical and aerospace industrial sector. Th
Externí odkaz:
https://doaj.org/article/c0ae9a9534d74ad0b6d922d6f39997ac
Autor:
Gabriel Mendonça de Paiva, Sergio Pires Pimentel, Bernardo Pinheiro Alvarenga, Enes Gonçalves Marra, Marco Mussetta, Sonia Leva
Publikováno v:
Energies, Vol 13, Iss 11, p 3005 (2020)
The forecasting of solar irradiance in photovoltaic power generation is an important tool for the integration of intermittent renewable energy sources (RES) in electrical utility grids. This study evaluates two machine learning (ML) algorithms for in
Externí odkaz:
https://doaj.org/article/649a32931fb04c298b587fc939bff48b