Nitsch, Felix and Schimeczek, Christoph (2020) Electricity price forecasts in agent-based energy system simulations. DLR-WAW Maschinelles Lernen 6, 27.-29.10.2020, Online.
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Abstract
We use a feed-forward and a long short-term model (LSTM) to predict electricity prices in an agent-based electricity market model. This model setup allows to consider uncertainties due to forecasting errors and competetion on energy markets in our modelling.
Item URL in elib: | https://elib.dlr.de/137426/ | |||||||||
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Document Type: | Conference or Workshop Item (Speech) | |||||||||
Title: | Electricity price forecasts in agent-based energy system simulations | |||||||||
Authors: |
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Date: | 29 October 2020 | |||||||||
Refereed publication: | No | |||||||||
Open Access: | Yes | |||||||||
Gold Open Access: | No | |||||||||
In SCOPUS: | No | |||||||||
In ISI Web of Science: | No | |||||||||
Status: | Published | |||||||||
Keywords: | machine learning electricity market modelling | |||||||||
Event Title: | DLR-WAW Maschinelles Lernen 6 | |||||||||
Event Location: | Online | |||||||||
Event Type: | Workshop | |||||||||
Event Dates: | 27.-29.10.2020 | |||||||||
HGF - Research field: | Energy | |||||||||
HGF - Program: | Technology, Innovation and Society | |||||||||
HGF - Program Themes: | Renewable Energy and Material Resources for Sustainable Futures - Integrating at Different Scales | |||||||||
DLR - Research area: | Energy | |||||||||
DLR - Program: | E SY - Energy Systems Analysis | |||||||||
DLR - Research theme (Project): | E - Systems Analysis and Technology Assessment (old) | |||||||||
Location: | Stuttgart | |||||||||
Institutes and Institutions: | Institute of Engineering Thermodynamics > Energy Systems Analysis | |||||||||
Deposited By: | Nitsch, Felix | |||||||||
Deposited On: | 04 Dec 2020 13:21 | |||||||||
Last Modified: | 04 Dec 2020 13:21 |
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