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
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