Advances in business information systems and analytics book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 119 - 148
Published: Nov. 29, 2024
This
chapter
explores
the
convergence
of
sustainability,
intelligent
methods,
and
smart
grids
as
a
solution
to
escalating
energy
demands
environmental
concerns
21st
century.
It
investigates
how
grids,
empowered
by
machine
learning,
artificial
intelligence,
other
advanced
techniques,
can
create
more
efficient
environmentally
friendly
ecosystem.
Key
applications
in
load
forecasting,
demand
management,
renewable
integration,
grid
optimization
are
examined.
The
acknowledges
challenges
like
resource
intensity
data
privacy,
advocating
for
robust
regulations
responsible
development
ensure
equitable
access
benefits.
Ultimately,
it
presents
comprehensive
analysis
this
synergy,
aiming
equip
readers
with
knowledge
navigate
complexities
landscape
build
sustainable
future.
Sustainability,
Journal Year:
2025,
Volume and Issue:
17(4), P. 1346 - 1346
Published: Feb. 7, 2025
Climate
change
is
worsening
across
the
region,
exacerbating
energy
crisis,
while
traditional
centralized
systems
struggle
to
meet
people’s
needs.
Globally,
countries
are
actively
responding
this
dual
challenge
of
climate
and
demand.
In
September
2020,
China
introduced
a
carbon
target
“Carbon
peak
neutrality”.
Since
then,
it
has
consistently
encouraged
supported
innovative
research
on
reduction
conservation
through
its
resource
policies.
Distributed
(DESs)
gaining
favor
in
various
due
their
promising
applications
environmental
realms,
particularly
light
current
imperatives
for
conservation,
emission
reduction,
relevant
This
paper
provides
retrospective
analysis
recent
DESs,
conducts
systematic
classification
statistical
overview
DES
implementations,
offers
insightful
recommendations
future
prospects
advancement
DESs.
Journal of Renewable and Sustainable Energy,
Journal Year:
2025,
Volume and Issue:
17(2)
Published: March 1, 2025
As
the
global
shift
away
from
fossil
fuels
intensifies,
distributed
photovoltaics
(PV)
have
emerged
as
most
significant
and
swiftly
expanding
renewable
energy
source
accessible
to
end-users
due
their
convenience
in
flexible
deployment.
Coupled
with
steep
decline
storage
costs,
co-deployment
of
PV
systems
(PV-ESS)
has
become
a
preferred
option
for
electricity
users,
especially
large
ones.
The
PV-ESS
investment
decision-making
model
is
encountering
new
obstacles
stemming
gradual
withdrawal
governmental
subsidies
swift
transition
carbon
markets.
To
address
pressing
requirement
industrial
commercial
this
paper
introduces
an
improved
capacity
configuration
that
incorporates
benefits
into
its
considerations.
First,
we
constructed
cost-benefit
analysis
users
investing
PV-ESS.
Second,
proposed
optimization
maximizing
annual
returns
objective
function.
Finally,
validate
model,
conducted
case
studies
across
various
typical
scenarios
explore
optimal
configurations
returns.
results
indicate
within
existing
market
framework,
achieving
return
on
challenging.
However,
incorporating
can
significantly
enhance
system
Specifically,
emissions
decrease
by
23.84%
under
low
price
scenario
50.91%
high
scenario,
while
net
present
value
increases
67.98%
941.96%,
respectively.
This
study
shed
fresh
insights
policy-makers
deployment
Batteries,
Journal Year:
2025,
Volume and Issue:
11(5), P. 179 - 179
Published: May 2, 2025
The
increasing
adoption
of
renewable
energy
sources
necessitates
efficient
storage
solutions,
with
buildings
emerging
as
critical
nodes
in
residential
systems.
This
review
synthesizes
state-of-the-art
research
on
the
role
batteries
settings,
emphasizing
their
diverse
applications,
such
for
photovoltaic
systems,
peak
shaving,
load
shifting,
demand
response,
and
backup
power.
Distinct
from
prior
studies,
our
work
provides
a
structured
framework
categorizing
battery
spanning
individual
use,
shared
communities,
examines
modeling
techniques
like
State
Charge
estimation
degradation
analysis.
Highlighting
integration
infrastructures,
we
explore
multi-objective
optimization
strategies
hierarchical
decomposition
methods
effective
utilization.
findings
underscore
that
advanced
management
systems
technological
innovations
are
aimed
at
extending
life
enhancing
efficiency.
Finally,
identify
knowledge
gaps
propose
directions
future
research,
focus
scaling
applications
to
meet
operational,
economic,
environmental
objectives.
By
bridging
theoretical
insights
practical
this
contributes
advancing
understanding
within
transition.
