TY - JOUR
T1 - Enabling local authorities to produce short-term energy plans
T2 - A multidisciplinary decision support approach
AU - Androulaki, Stella
AU - Doukas, Haris
AU - Marinakis, Vangelis
AU - Madrazo, Leandro
AU - Legaki, Nikoletta Zabbeta
N1 - Funding Information:
The most important part of this research has received funding from the European Union Seventh Framework Programme (FP7/2007-2013) under Grant Agreement No. 608703. The sole responsibility for the content of this paper lies with the authors. It does not necessarily reflect the opinion of the European Union.
Publisher Copyright:
© 2016, © Emerald Group Publishing Limited.
PY - 2016/3/14
Y1 - 2016/3/14
N2 - Purpose – The purpose of this paper is to identify the most appropriate multidisciplinary data sources related with energy optimization decision support as well as the related methodologies, tools and techniques for data capturing and processing for each of them. Design/methodology/approach – A review is conducted on the state-of-play of decision support systems for energy optimization, focussing on the municipal sector, followed by an identification of the most appropriate multidisciplinary data sources related with energy optimization decision support. An innovative methodology is outlined to integrate semantically modeled data from multiple sources, to assist city authorities in energy management. Findings – City authorities need to lead relevant actions toward energy-efficient neighborhoods. Although there are more and more energy and other related data available at the city level, there are no established methods and tools integrating and analyzing them in a smart way, with the purpose to support the decision-making process on energy use optimization. Originality/value – A novel multidimensional approach is proposed, using semantic technologies to integrate data from multiple sources, to assist city authorities to produce short-term energy plans in an integrated, transparent and comprehensive way.
AB - Purpose – The purpose of this paper is to identify the most appropriate multidisciplinary data sources related with energy optimization decision support as well as the related methodologies, tools and techniques for data capturing and processing for each of them. Design/methodology/approach – A review is conducted on the state-of-play of decision support systems for energy optimization, focussing on the municipal sector, followed by an identification of the most appropriate multidisciplinary data sources related with energy optimization decision support. An innovative methodology is outlined to integrate semantically modeled data from multiple sources, to assist city authorities in energy management. Findings – City authorities need to lead relevant actions toward energy-efficient neighborhoods. Although there are more and more energy and other related data available at the city level, there are no established methods and tools integrating and analyzing them in a smart way, with the purpose to support the decision-making process on energy use optimization. Originality/value – A novel multidimensional approach is proposed, using semantic technologies to integrate data from multiple sources, to assist city authorities to produce short-term energy plans in an integrated, transparent and comprehensive way.
KW - Decision support
KW - Energy optimization
KW - Local authorities
KW - Multidisciplinary data sources
KW - Short-term plans
KW - Smart cities
UR - http://www.scopus.com/inward/record.url?scp=84960367529&partnerID=8YFLogxK
U2 - 10.1108/MEQ-02-2014-0021
DO - 10.1108/MEQ-02-2014-0021
M3 - Article
AN - SCOPUS:84960367529
SN - 1477-7835
VL - 27
SP - 146
EP - 166
JO - Management of Environmental Quality: An International Journal
JF - Management of Environmental Quality: An International Journal
IS - 2
ER -