Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 6418 |
| Seitenumfang | 4 |
| Fachzeitschrift | J. Open Source Softw. |
| Jahrgang | 9 |
| Ausgabenummer | 98 |
| Publikationsstatus | Veröffentlicht - 12 Juni 2024 |
Abstract
expanded to ensure access to energy for all. In both cases, re-designing and expanding energy systems in these directions requires information on future user behaviour and associated energy demand, yet this type of data is often unavailable. In fact, historical data are often either entirely missing or poorly representative of future behaviour within transitioning systems. This results in reliance on inadequate demand data, which affects system design and its resilience to rapid behaviour evolution.
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in: J. Open Source Softw., Jahrgang 9, Nr. 98, 12.06.2024, S. 6418.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - RAMP
T2 - stochastic simulation of user-driven energy demand time series
AU - Lombardi, Francesco
AU - Duc, Pierre-François
AU - Tahavori, Mohammad Amin
AU - Sanchez-Solis, Claudia
AU - Eckhoff, Sarah
AU - Hart, Maria C. G.
AU - Sanvito, Francesco Davide
AU - Ireland, Gregory
AU - Balderrama, Sergio
AU - Kraft, Johann
AU - Dhungel, Gokarna
AU - Quoilin, Sylvain
N1 - DBLP's bibliographic metadata records provided through http://dblp.org/search/publ/api are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.
PY - 2024/6/12
Y1 - 2024/6/12
N2 - The urgency of the energy transition is leading to a rapid evolution of energy system design worldwide. In areas with widespread energy infrastructure, existing electricity, heat and mobility networks are being re-designed for carbon neutrality and are increasingly interconnected. In areas where energy infrastructure is limited, instead, networks and systems are being rapidlyexpanded to ensure access to energy for all. In both cases, re-designing and expanding energy systems in these directions requires information on future user behaviour and associated energy demand, yet this type of data is often unavailable. In fact, historical data are often either entirely missing or poorly representative of future behaviour within transitioning systems. This results in reliance on inadequate demand data, which affects system design and its resilience to rapid behaviour evolution.
AB - The urgency of the energy transition is leading to a rapid evolution of energy system design worldwide. In areas with widespread energy infrastructure, existing electricity, heat and mobility networks are being re-designed for carbon neutrality and are increasingly interconnected. In areas where energy infrastructure is limited, instead, networks and systems are being rapidlyexpanded to ensure access to energy for all. In both cases, re-designing and expanding energy systems in these directions requires information on future user behaviour and associated energy demand, yet this type of data is often unavailable. In fact, historical data are often either entirely missing or poorly representative of future behaviour within transitioning systems. This results in reliance on inadequate demand data, which affects system design and its resilience to rapid behaviour evolution.
U2 - 10.21105/JOSS.06418
DO - 10.21105/JOSS.06418
M3 - Article
VL - 9
SP - 6418
JO - J. Open Source Softw.
JF - J. Open Source Softw.
IS - 98
ER -