Page 35 - European Energy Innovation - Summer 2015 publication
P. 35
Summer 2015 European Energy Innovation 35
COMMUNICATION
have been initially used to tune the
recommendation system to send the
users specific appliance activation time
proposals.
In order to improve the consumption scheduler component of INTrEPID, developments and step forwards,
awareness, the users involved in the then smoothly try to move users the INTrEPID project is also trying to
pilot have been periodically updated habits, weighting more and more a experiment how adaptive applications
with bi-weekly newsletters reporting generalized cost function of the district actively involving the users could
as anonymized information the vs the habits “learned” from the user accelerate the adoption of energy
comparison of existing usage in each by machine learning techniques. The management applications.
home (Building Unit) and per capita. system is adaptive since reinforces its
This comparison with other users learning by means of users’ answers From the first experimental data and
provided an improved engagement to proposed scheduling through feedbacks, the approach followed in
of the users and a key additional level mobile app notification, confirming the INTrEPID project based on user-
of understanding about their energy the users’ centric role in the entire centered design and gamification
behaviors. process. Incentives are provided to appears to be a promising way to
the users in terms of “gamification”: increase the user perceived value of
While users consumption awareness an energy game supports a reward smart grids applications and their
has being recognized as the first step policy to stimulate the acceptance of acceptance in the mass market.
for energy optimization at a local level unusual scheduling proposals, in order
and supported in the first part of the to gradually move users habits to meet List of INTrEPID partners: Telecom
INTrEPID pilot, an additional effort to the suggestions. Italia S.p.A., University of Aalborg,
provide a proper orchestration of the Honeywell, ENEL Ingegneria e
consumption is necessary to enable As it emerges from what is stated Innovazione, Seluxit, Advantic Sistemas
district-side management. The second above, besides addressing energy y Servicios, RSE Ricerca sul Sistema
step of the pilot, leveraging on the optimization by means of technological Energetico, Gorenje. l
50 connected homes, will be then
focused on understanding how to The INTrEPID consortium includes a significant involvement of large enterprises
“move” energy consumption patterns and SMEs from different sectors, including home automation equipment
of different houses forming a district, providers, smart appliances manufacturers, telecom operators and energy
in order to control the cumulated distributors.
load (i.e. the sum of consumption/
microgeneration of all the buildings
in the district). Since the pilot sites
where spread in different locations,
“virtual” districts have been defined
as groups of users. In order to actively
engage users to shift the appliance
usage, the recommendation will be
initially done starting from the users’
habits. As a matter of fact, whereas
finding a solution to the optimization
problem holds technical challenges,
putting humans in the “control loop”
might have strong implications in the
comfort, since the more the habits
are challenged, the less the user
would be willing to cooperate, at
least initially. The recommendation
system, implemented in the district
www.europeanenergyinnovation.eu
COMMUNICATION
have been initially used to tune the
recommendation system to send the
users specific appliance activation time
proposals.
In order to improve the consumption scheduler component of INTrEPID, developments and step forwards,
awareness, the users involved in the then smoothly try to move users the INTrEPID project is also trying to
pilot have been periodically updated habits, weighting more and more a experiment how adaptive applications
with bi-weekly newsletters reporting generalized cost function of the district actively involving the users could
as anonymized information the vs the habits “learned” from the user accelerate the adoption of energy
comparison of existing usage in each by machine learning techniques. The management applications.
home (Building Unit) and per capita. system is adaptive since reinforces its
This comparison with other users learning by means of users’ answers From the first experimental data and
provided an improved engagement to proposed scheduling through feedbacks, the approach followed in
of the users and a key additional level mobile app notification, confirming the INTrEPID project based on user-
of understanding about their energy the users’ centric role in the entire centered design and gamification
behaviors. process. Incentives are provided to appears to be a promising way to
the users in terms of “gamification”: increase the user perceived value of
While users consumption awareness an energy game supports a reward smart grids applications and their
has being recognized as the first step policy to stimulate the acceptance of acceptance in the mass market.
for energy optimization at a local level unusual scheduling proposals, in order
and supported in the first part of the to gradually move users habits to meet List of INTrEPID partners: Telecom
INTrEPID pilot, an additional effort to the suggestions. Italia S.p.A., University of Aalborg,
provide a proper orchestration of the Honeywell, ENEL Ingegneria e
consumption is necessary to enable As it emerges from what is stated Innovazione, Seluxit, Advantic Sistemas
district-side management. The second above, besides addressing energy y Servicios, RSE Ricerca sul Sistema
step of the pilot, leveraging on the optimization by means of technological Energetico, Gorenje. l
50 connected homes, will be then
focused on understanding how to The INTrEPID consortium includes a significant involvement of large enterprises
“move” energy consumption patterns and SMEs from different sectors, including home automation equipment
of different houses forming a district, providers, smart appliances manufacturers, telecom operators and energy
in order to control the cumulated distributors.
load (i.e. the sum of consumption/
microgeneration of all the buildings
in the district). Since the pilot sites
where spread in different locations,
“virtual” districts have been defined
as groups of users. In order to actively
engage users to shift the appliance
usage, the recommendation will be
initially done starting from the users’
habits. As a matter of fact, whereas
finding a solution to the optimization
problem holds technical challenges,
putting humans in the “control loop”
might have strong implications in the
comfort, since the more the habits
are challenged, the less the user
would be willing to cooperate, at
least initially. The recommendation
system, implemented in the district
www.europeanenergyinnovation.eu
