Introduction:
This
research
aims
to
investigate
the
use
of
financial
Big
Data
and
artificial
intelligence
(AI)
in
predicting
bankruptcy
risk
companies
listed
on
Indonesia
Stock
Exchange
(BEI),
with
Altman
Z-Score
model
as
main
framework.
Objective:
In
this
research,
an
intervening
variable
form
data
quality
is
introduced
assess
role
mediation
increasing
accuracy
predictions..
Method:
The
method
used
quantitative
analytical
Structural
Equation
Modeling
Partial
Least
Squares
(SEM-PLS),
which
allows
analysis
relationship
between
independent
variables
(Big
AI),
(quality
data),
dependent
(bankruptcy
prediction).
Result:
results
show
that
integration
AI
significantly
increases
company
predictions
IDX,
acting
strengthens
relationship.
influence
prediction
through
has
also
been
proven
provide
more
precise
faster
compared
conventional
model.
Conclusion:
These
findings
confirm
a
key
factor
must
be
considered
optimizing
capital
market.
implications
for
development
technology
(Fintech)
management
strategies
public
companies,
especially
identifying
risks
effectively
by
utilizing
latest
technology.
Energy Conversion and Management,
Год журнала:
2024,
Номер
314, С. 118693 - 118693
Опубликована: Июль 1, 2024
Port
operations,
essential
for
global
trade,
are
energy-intensive
and
heavily
reliant
on
fossil
fuels.
Transitioning
to
renewable
energy
can
reduce
their
carbon
footprint
enhance
resilience
sustainability.
Renewable
Energy
Communities
(RECs)
offer
a
collaborative
decentralized
framework
integrating
into
port
facilities.
However,
authorities
maritime
stakeholders
face
challenges
in
design,
implementation,
particularly
estimating
outcomes
benefits.
Understanding
the
REC
is
crucial
industry
address
current
priorities.
This
study
provides
guidelines
implementing
single
or
multiple
communities
ports.
An
economic
model,
based
EU
regulations
national
laws,
assesses
viability
of
RECs
The
model
considers
usage
various
production
systems,
such
as
solar
marine
technologies,
storage
hybrid
configuration
estimate
variable
demand
profiles
explore
integration
system.
numerical
simulates
virtual
exchanges
among
users
investigates
feasibility
shared
projects
research
comprehensively
analyses
technological
scenarios
examines
convenience
end-user
aggregations.
Results
indicate
that
increasing
complementarity
rational
system
design
cover
up
60
%
total
achieve
90
self-consumption.
Incentives
ensure
payback
period
under
6
years
large-scale
systems
between
2
4
smaller
power
plants,
highlighting
significant
financial
benefits
voluntary
members.
Batteries
enable
higher
penetration
system,
15
%,
with
moderate
impact.
self-consumption
scheme
promising,
incentives
shift
focus
aspects
increase
local
utilization.
Policies
encouraging
creation
ports
lower
life
cycle
costs,
aggregations
leading
€6M
costs
over
20
compared
community
comprising
all
main
users.
Corporate Social Responsibility and Environmental Management,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 17, 2025
ABSTRACT
Listed
companies
allocate
resources
to
various
renewable
energy
and
green
innovation
initiatives
driven
by
economic
environmental,
social,
governance
(ESG)
objectives.
Corporations
experience
increased
pressure
from
stakeholders,
potentially
hindering
the
concurrent
achievement
of
ESG
goals
leading
phenomena
such
as
greenwashing.
This
study
examines
whether
these
investments
practices
represent
an
authentic
transformation
in
corporate
strategy
or
a
mere
rebranding
attempt.
Moreover,
it
investigates
cultural
dimensions
can
serve
predictors
The
investigation
progresses
through
three
stages.
First,
homogenous
dataset
59
listed
EU
countries
between
2011
2022
is
identified.
Second,
data
envelopment
analysis
methodology
employed
second
stage
determine
companies'
efficiency.
An
effective
enterprise
must
simultaneously
achieve
calculates
greenwashing
proxy,
creating
binary
variable
assigning
value
1
not
impacted
0
those
that
are.
Finally,
logistic
regression
utilized
investigate
correlation
denotes
subjected
Hofstede's
dimensions.
reveals
firms
operating
with
high
levels
masculinity
are
more
likely
participate
deceptive
environmental
known
“greenwashing.”
outcome
has
implications
for
academic
practical
purposes,
notably
regarding
stakeholder
involvement
re‐evaluation
strategic
decision‐making
procedures
interplay
values
technology.
To
best
our
knowledge,
this
represents
sole
applies
approach
examining
non‐financial
reporting,
focusing
on
values,
ESG,
their
interaction
effects.
Energies,
Год журнала:
2025,
Номер
18(4), С. 763 - 763
Опубликована: Фев. 7, 2025
This
paper
presents
a
new
approach
to
optimize
the
clustering
of
industrial
users
and
determine
appropriate
size
photovoltaic
(PV)
systems
in
renewable
energy
communities
(RECs).
By
combining
data
including
each
company’s
consumption
profiles
based
on
its
ATECO
classification,
existing
installable
PV
capacity,
electricity
purchase
sale
costs,
REC
incentives,
installation
proposed
algorithm
identifies
optimal
form
an
economically
efficient
REC.
Additionally,
capacity
for
member
is
evaluated,
taking
into
account
potential
constraints
available
area.
As
whole,
can
which
cluster
companies
maximizes
net
present
value
(NPV)
without
compromising
payback
time
(PBT),
providing
strategic
framework
aid
improving
economic
performance
RECs,
correctly
sizing
community
ensuring
that
investment
yields
greatest
possible
financial
social
benefits.
From
analysis
considered
case
studies,
it
appears
method
allows,
as
increase
NPV
from
minimum
about
25%
with
no
change
PBT,
up
75%
PBT
5
years.
Energies,
Год журнала:
2025,
Номер
18(5), С. 1134 - 1134
Опубликована: Фев. 25, 2025
Transitioning
to
Positive
Energy
Districts
(PEDs)
is
essential
for
achieving
carbon
neutrality
in
urban
areas
by
2050.
This
study
presents
a
multi-objective
optimization
framework
that
balances
energy,
environmental,
and
economic
performance,
addressing
the
diverse
priorities
of
multiple
stakeholders.
The
enhances
PED
design
systematically
evaluating
technical
solutions,
including
renewable-based
electrification,
demand-side
management
(DSM),
energy
storage,
retrofitting.
applied
Usquare
district
Brussels,
Belgium,
as
case
study.
results
indicate
expanding
photovoltaic
(PV)
capacity
crucial
targets,
with
electrification
potentially
reducing
emissions
up
79%.
incorporation
(DSM)
battery
storage
improves
system
flexibility,
reduces
grid
dependency,
cost-effectiveness.
Although
slightly
more
costly,
retrofitting
existing
buildings
provides
most
balanced
approach,
offering
lowest
CO2
highest
self-consumption
ratio.
comprehensive
decision-making
support
optimizing
operation,
practical
guidance
planning
contributing
global
efforts
toward
neutrality.
IEEE Access,
Год журнала:
2024,
Номер
12, С. 104878 - 104897
Опубликована: Янв. 1, 2024
Smart
Grid
integration
plays
a
crucial
role
in
transitioning
towards
climate-neutral
future
by
enabling
advanced
monitoring,
management,
and
control
of
renewable
energy
sources,
systems,
networks.
However,
several
barriers
related
to
technological,
economic,
regulatory,
social
aspects
hinder
the
these
innovative
resources
strategies
into
current
power
systems
due
inherent
complexity
heterogeneous
technologies,
entities,
actors.
For
example,
interoperability
issues,
cybersecurity
concerns
data
management
are
relevant
digitalization
smart
grids.
To
address
challenges,
this
paper
proposes
hybrid
multi-model
co-simulation
infrastructure
simulate
scenarios.
The
enables
interconnection
software
simulators
with
real-time
hardware
within
shared
distributed
environment,
facilitating
Hardware-In-the-Loop
(HIL)
applications
through
semi-automated
scenario
configuration
procedure.
proposed
infrastructure's
capabilities
performance
assessed
grid
scenario,
focusing
on
implementing
distribution
voltage
regulation
service
provided
installed
building
premise.
Specifically,
includes
physical
meter
device
interconnected
HIL
simulated
system
test
integrated
functionality
for
ancillary
service.
results
demonstrate
facilitated
design
process,
promising
low
latencies
when
coupling
applications.
Overall,
has
potential
assist
researchers,
operators,
stakeholders
evaluating
scenarios
designing,
developing,
testing
new
business
models.
Buildings,
Год журнала:
2024,
Номер
14(5), С. 1466 - 1466
Опубликована: Май 18, 2024
This
research
delves
into
a
case
study
of
photovoltaic
(PV)
energy
community,
leveraging
empirical
data
to
explore
the
integration
renewable
sources
and
storage
solutions.
By
evaluating
generation
consumption
patterns
within
real-world
communities
(a
nominal
capacity
33
kWn)
in
Gipuzkoa,
Spain,
from
May
2022
2023,
this
comprehensively
examines
operational
dynamics
performance
metrics.
highlights
critical
role
facilitating
underscores
importance
proactive
strategies
manage
demand
fluctuations
effectively.
Against
backdrop
rising
costs
environmental
concerns,
energies
solutions
emerge
as
compelling
alternatives,
offering
financial
feasibility
benefits
communities.
emphasizes
necessity
development
efforts
develop
efficient
technologies
economic
incentives
collaborative
initiatives
drive
investments
infrastructure.
The
analyzed
results
provide
valuable
insights
metrics,
further
advancing
our
understanding
their
transformative
potential
achieving
sustainable
future.
Specifically,
suggests
that
should
ideally
support
an
average
annual
23%,
with
observed
where
may
double
or
reduce
minimum
certain
months.
Given
current
market
conditions,
findings
indicate
significant
public
subsidies,
amounting
no
less
than
67%,
facilitate
installation
infrastructure,
especially
cases
initial
are
not
covered
by
community.
