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The merge of two worlds : integrating artificial neural networks into agent-based electricity market simulation
Fraunholz, Christoph; Kraft, Emil; Keles, Dogan; … - 2020
Machine learning and agent-based modeling are two popular tools in energy research. In this article, we propose an innovative methodology that combines these methods. For this purpose, we develop an electricity price forecasting technique using artificial neural networks and integrate the novel...
Persistent link: https://www.econbiz.de/10012285555
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Labor market imperfections and selective separability in household models : a predictive typology of Mexican Ejidatarios
Sadoulet, Elisabeth; De Janvry, Alain; Benjamin, Catherine - 1996
Persistent link: https://www.econbiz.de/10000946209
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Household forecasting : preservation of age patterns
Keilman, Nico - In: International journal of forecasting 32 (2016) 3, pp. 726-735
Persistent link: https://www.econbiz.de/10011621790
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A new error measure for forecasts of household-level, high resolution electrical energy consumption
Haben, Stephen; Ward, Jonathan; Vukadinović Greetham, … - In: International journal of forecasting 30 (2014) 2, pp. 246-256
Persistent link: https://www.econbiz.de/10010510941
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Can Agent-Based Models Forecast Spot Prices in Electricity Markets? Evidence from the New Zealand Electricity Market
Young, David; Poletti, Stephen; Browne, Oliver - 2012
Modelling price formation in electricity markets is a notoriously difficult process, due to physical constraints on electricity generation and flow. This difficulty has inspired the recent development of bottom-up agent-based models of electricity markets. While these have proven quite...
Persistent link: https://www.econbiz.de/10014170211
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Modelling the future development of renewable energy technologies in the European electricity sector using agent-based simulation
Held, Anne Mirjam - 2011
Entscheidungen im Energiebereich müssen in der Regel unter Beachtung mehrerer, teilweise konfliktärer Zielsetzungen, wie Wirtschaftlichkeit, Versorgungsicherheit und Umweltschutz, getroffen werden. Vor diesem Hintergrund wird in der vorliegenden Arbeit ein multikriterielles...
Persistent link: https://www.econbiz.de/10008903470
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Stochastic household forecasts by coherent random shares predictions
Keilman, Nico; Duin, Coen van - 2014 - This version 14 April 2014
We compute a stochastic household forecast for the Netherlands by the random share method. Time series of shares of … persons in nine household positions, broken down by sex and five-year age group for the years 1996-2010 are modelled by means … of time indices for each household position for men and women. We model these time indices as a Random Walk with Drift …
Persistent link: https://www.econbiz.de/10010354141
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Consumer bankruptcy prediction using balanced and imbalanced data
Brygała, Magdalena - In: Risks : open access journal 10 (2022) 2, pp. 1-13
the current global pandemic crisis, the future of household finances is uncertain. The change of the macroeconomic and …
Persistent link: https://www.econbiz.de/10012805903
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Nowcasting household consumption in Azerbaijan
Ramazanova, Nazrin; Rahmanov, Ramiz - 2021
Persistent link: https://www.econbiz.de/10013448566
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Forecasting of electrical energy consumption of households in a smart grid
Souhe, Felix Ghislain Yem; Mbey, Camille Franklin; … - In: International Journal of Energy Economics and Policy : IJEEP 11 (2021) 6, pp. 221-233
Persistent link: https://www.econbiz.de/10012797971