Optimizing Fast Charging Protocols for Lithium-Ion Batteries Using Reinforcement Learning: Balancing Speed, Efficiency, and Longevity
Results in Engineering,
Journal Year:
2025,
Volume and Issue:
unknown, P. 104302 - 104302
Published: Feb. 1, 2025
Language: Английский
Energy efficiency improvement of a wood-manufacturing plant in Morocco through energy audit
C. Nait,
No information about this author
A. El Fadar,
No information about this author
O.B. Achkari
No information about this author
et al.
Energy Sustainable Development/Energy for sustainable development,
Journal Year:
2025,
Volume and Issue:
85, P. 101669 - 101669
Published: Feb. 12, 2025
Language: Английский
Digital Technologies for Energy Monitoring and Optimization
Studies in Infrastructure and Control,
Journal Year:
2025,
Volume and Issue:
unknown, P. 51 - 87
Published: Jan. 1, 2025
Language: Английский
Machine learning framework for sustainable traffic management and safety in AlKharj city
Sustainable Futures,
Journal Year:
2025,
Volume and Issue:
unknown, P. 100407 - 100407
Published: Jan. 1, 2025
Language: Английский
Design, Development, and Evaluation of a low-cost Smart Solar-powered Weather Station for Use in Agricultural Environments
Hamed Mokhtarzadeh,
No information about this author
Shiva Gorjian,
No information about this author
Saeid Minaei
No information about this author
et al.
Results in Engineering,
Journal Year:
2025,
Volume and Issue:
unknown, P. 104848 - 104848
Published: April 1, 2025
Language: Английский
Energy-efficient transfer learning for water consumption forecasting
Sustainable Computing Informatics and Systems,
Journal Year:
2025,
Volume and Issue:
unknown, P. 101130 - 101130
Published: May 1, 2025
Language: Английский
Design of a Low-Cost and High-Precision Measurement System Suitable for Organic Transistors
Vratislav Režo,
No information about this author
Martin Weis
No information about this author
Electronics,
Journal Year:
2024,
Volume and Issue:
13(22), P. 4475 - 4475
Published: Nov. 14, 2024
Organic
field-effect
transistors
(OFETs)
require
ultra-precise
electrical
measurements
due
to
their
unique
charge
transport
mechanisms
and
sensitivity
environmental
factors,
yet
commercial
semiconductor
parameter
analysers
capable
of
such
are
prohibitively
expensive
for
many
research
laboratories.
This
study
introduces
a
novel,
cost-effective,
portable
setup
high-precision
OFET
characterisation
that
addresses
this
critical
need,
providing
feasible
substitute
conventional
costing
tens
thousands
dollars.
The
suggested
system
incorporates
measurement,
data
processing,
graphical
visualisation
capabilities,
together
with
Bluetooth
connectivity
local
operation
Wi-Fi
functionality
remote
monitoring.
device
consists
motherboard
specialised
cards
low-current
voltage
generation,
comprehensive
characterisation,
including
transfer
output
characteristics,
in
accordance
IEEE-1620
standards.
can
measure
current
from
picoamperes
milliamperes,
supported
by
high
input
resistance
(>100
MΩ)
generation
range
−30
V
+30
V.
versatile
accessible
approach
greatly
improves
the
opportunities
future
development.
Language: Английский