Adaptation of High Spatio-Temporal Resolution Weather/Load Forecast in Real-World Distributed Energy-System Operation

Loading...
Thumbnail Image
File version
Version of Record (VoR)
Author(s)
Pirooz, Amir Ali Safaei
Sanjari, Mohammad J
Kim, Young-Jin
Moore, Stuart
Turner, Richard
Weaver, Wayne W
Srinivasan, Dipti
Guerrero, Josep M
Shahidehpour, Mohammad
Griffith University Author(s)
Primary Supervisor
Other Supervisors
Editor(s)
Date
2023
Size
File type(s)
Location
License
https://creativecommons.org/licenses/by/4.0/
Abstract

Despite significant advances in distributed renewable energy systems (DRES), the technology still faces several substantial challenges that prevent the large-scale adoption of these systems into a country’s energy sector. The intermittency of renewables, uncertainties associated with real-time multi-horizon weather and load forecasts, and lack of comprehensive control systems are among the main technical and regulatory challenges for the real-world adoption of DRES. This paper outlines the current state of knowledge in the real-world operation of DRES and also describes pathways and methodologies that enable and facilitate the uptake of DRES in a country’s energy sector.

Journal Title
Energies
Conference Title
Book Title
Edition
Volume
16
Issue
8
Thesis Type
Degree Program
School
Publisher link
Patent number
Funder(s)
Grant identifier(s)
Rights Statement
Rights Statement
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Item Access Status
Note
Access the data
Related item(s)
Subject
Built environment and design
Engineering
Physical sciences
Science & Technology
Technology
Energy & Fuels
renewable microgrid
high-resolution weather
Persistent link to this record
Citation
Pirooz, AAS; Sanjari, MJ; Kim, Y-J; Moore, S; Turner, R; Weaver, WW; Srinivasan, D; Guerrero, JM; Shahidehpour, M, Adaptation of High Spatio-Temporal Resolution Weather/Load Forecast in Real-World Distributed Energy-System Operation, Energies, 2023, 16 (8), pp. 3477
Collections