The progressive energy transition, driven by the growing number of
renewable energies, the increasing social importance of sustainable actions, as
well as new technologies, causes major challenges for enterprises and power
supply companies (PSCs). While the electricity price fluctuations will continue
to increase in the future, the installation of smart meters and smart meter
gateways is aimed to ensure grid stability. They provide the basis for
communication between companies and PSCs. In order to make companies
energy consumption predictable even before the energy is needed, an automated
data exchange between an energy management system (EnMS) and enterprise
resource planning (ERP) system is essential. Therefore, we address this
problem by following five research steps to develop a prototype for predictive
energy management in information systems.
%0 Conference Paper
%1 heim2019towards
%A Heim, David
%A Friedrich-Baasner, Gregor
%A Fuchs, Anna
%A Winkelmann, Axel
%B 14th International Conference on Wirtschaftsinformatik (WI)
%C Siegen
%D 2019
%K Demand-sideManagement EnergyTransition InformationSystem PredictiveEnergyManagement
%T Towards Predictive Energy Management in Information
Systems: A Research Proposal
%X The progressive energy transition, driven by the growing number of
renewable energies, the increasing social importance of sustainable actions, as
well as new technologies, causes major challenges for enterprises and power
supply companies (PSCs). While the electricity price fluctuations will continue
to increase in the future, the installation of smart meters and smart meter
gateways is aimed to ensure grid stability. They provide the basis for
communication between companies and PSCs. In order to make companies
energy consumption predictable even before the energy is needed, an automated
data exchange between an energy management system (EnMS) and enterprise
resource planning (ERP) system is essential. Therefore, we address this
problem by following five research steps to develop a prototype for predictive
energy management in information systems.
@inproceedings{heim2019towards,
abstract = {The progressive energy transition, driven by the growing number of
renewable energies, the increasing social importance of sustainable actions, as
well as new technologies, causes major challenges for enterprises and power
supply companies (PSCs). While the electricity price fluctuations will continue
to increase in the future, the installation of smart meters and smart meter
gateways is aimed to ensure grid stability. They provide the basis for
communication between companies and PSCs. In order to make companies
energy consumption predictable even before the energy is needed, an automated
data exchange between an energy management system (EnMS) and enterprise
resource planning (ERP) system is essential. Therefore, we address this
problem by following five research steps to develop a prototype for predictive
energy management in information systems.},
added-at = {2019-03-12T12:35:07.000+0100},
address = {Siegen},
author = {Heim, David and Friedrich-Baasner, Gregor and Fuchs, Anna and Winkelmann, Axel},
biburl = {https://www.bibsonomy.org/bibtex/2e06561176d06c46ac282009ce008e18d/winkelmann},
booktitle = {14th International Conference on Wirtschaftsinformatik (WI)},
interhash = {6e3b4fa985f051f16fa1266a200bf7ca},
intrahash = {e06561176d06c46ac282009ce008e18d},
keywords = {Demand-sideManagement EnergyTransition InformationSystem PredictiveEnergyManagement},
timestamp = {2019-03-12T12:38:25.000+0100},
title = {Towards Predictive Energy Management in Information
Systems: A Research Proposal},
year = 2019
}