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Andreas Koch
Researcher at European Institute
Publications - 36
Citations - 575
Andreas Koch is an academic researcher from European Institute. The author has contributed to research in topics: Urban planning & Energy planning. The author has an hindex of 11, co-authored 35 publications receiving 460 citations. Previous affiliations of Andreas Koch include Karlsruhe Institute of Technology.
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Journal ArticleDOI
Obstacles in energy planning at the urban scale
Sébastien Cajot,Sébastien Cajot,Markus Peter,J.-M. Bahu,F. Guignet,Andreas Koch,François Maréchal +6 more
TL;DR: In this paper, the authors present a systematic framework to analyze the issues at stake in urban energy planning, arguing that it is a necessary step to improve and develop adapted solutions which embrace the entirety of the problem.
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Towards a 3D Spatial Urban Energy Modelling Approach
TL;DR: Two recent research approaches developed at EIFER in the fields of a geo-localised simulation of heat energy demand in cities based on 3D morphological data and spatially explicit Agent-Based Models ABM for the simulation of smart grids are described.
Journal ArticleDOI
Towards a 3d Spatial Urban Energy Modelling Approach
TL;DR: Two recent research approaches developed at EIFER in the fields of geo-localised simulation of heat energy demand in cities based on 3D morphological data and spatially explicit Agent-Based Models (ABM) for the simulation of smart grids are described.
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Energy Planning in the Urban Context: Challenges and Perspectives☆
TL;DR: In this article, the authors explore the challenge of energy planning in cities, with the goal of providing a framework to better understand the problems and identify perspectives to tackle them, and propose a systematic framework to describe the various and complex aspects of energy-aware urban planning.
Journal ArticleDOI
Composite forecasting approach, application for next-day electricity price forecasting
TL;DR: Results show that composite forecasting processes with ‘inverse root mean squared error’ combination approach can generate, on average, a more accurate and robust forecast than using an individual methods or other combination schemas.