Adaptation of High Spatio-Temporal Resolution Weather/Load Forecast in Real-World Distributed Energy-System Operation
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Sanjari, Mohammad J
Kim, Young-Jin
Moore, Stuart
Turner, Richard
Weaver, Wayne W
Srinivasan, Dipti
Guerrero, Josep M
Shahidehpour, Mohammad
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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.
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Energies
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16
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8
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© 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/).
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Built environment and design
Engineering
Physical sciences
Science & Technology
Technology
Energy & Fuels
renewable microgrid
high-resolution weather
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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