Building and Environment, Journal Year: 2025, Volume and Issue: 275, P. 112721 - 112721
Published: Feb. 26, 2025
Language: Английский
Sustainable Cities and Society, Journal Year: 2023, Volume and Issue: 99, P. 104985 - 104985
Published: Oct. 5, 2023
Language: Английский
Citations
115
Energies, Journal Year: 2023, Volume and Issue: 16(19), P. 6903 - 6903
Published: Sept. 30, 2023
In this paper, we exploit state-of-the-art energy management in sustainable smart cities employing the Internet of Energy (IoE). The primary goal study is to leverage cutting-edge techniques through IoE bring about significant improvements clean processes while targeting environmental benefits, efficiency enhancements, sustainability, and cost reduction. work, present a comprehensive exploration strategies within context IoE-enabled cities. Firstly, provide detailed classification diverse approaches pertinent IoE-based This covers spectrum methodologies, including scheduling optimization, design low-power device transceivers, cognitive frameworks, integration cloud computing technology. Furthermore, highlight pivotal role grids as fundamental elements establishment Within context, offer overview essential components that underlie grids, with notable focus on intricate realm micro/nanogrids. Moreover, our research delves comprehensively into harvesting We analyze crucial facets like receiver design, optimization methods, variety sources, efficient approaches, effective routing mechanisms. Additionally, delve multifaceted nature across various domains. Our investigation reaches its culmination creation novel conceptual framework identification enabling technologies centered management. Lastly, contribute field by outlining current challenges mapping potential directions relevant cities, capitalizing capabilities IoT.
Language: Английский
Citations
100
Smart Cities, Journal Year: 2024, Volume and Issue: 7(1), P. 414 - 444
Published: Jan. 31, 2024
This review explores the relationship between urban energy planning and smart city evolution, addressing three primary questions: How has research on cities evolved in past thirty years? What promises hurdles do initiatives introduce to planning? And why some projects surpass efficiency emission reduction targets while others fall short? Based a bibliometric analysis of 9320 papers published January 1992 May 2023, five dimensions were identified by researchers trying address these (1) use at building scale, (2) design integration, (3) transportation mobility, (4) grid modernization grids, (5) policy regulatory frameworks. A comprehensive 193 discovered that previous prioritized technological advancements first four dimensions. However, there was notable gap adequately inherent challenges. often led endeavors underperforming relative their intended objectives. Overcoming requires better understanding broader issues such as environmental impacts, social justice, resilience, safety security, affordability initiatives.
Language: Английский
Citations
24
Transportation Research Part A Policy and Practice, Journal Year: 2024, Volume and Issue: 184, P. 104079 - 104079
Published: April 26, 2024
Language: Английский
Citations
23
Journal of Material Cycles and Waste Management, Journal Year: 2024, Volume and Issue: 26(3), P. 1264 - 1276
Published: Feb. 29, 2024
Language: Английский
Citations
20
Sustainable Energy Technologies and Assessments, Journal Year: 2023, Volume and Issue: 57, P. 103262 - 103262
Published: May 8, 2023
Language: Английский
Citations
23
Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)
Published: Jan. 24, 2024
Abstract
The
concept
of
Autonomous
Taxis
(ATs)
has
witnessed
a
remarkable
surge
in
popularity
recent
years,
paving
the
way
toward
future
smart
cities.
However,
accurately
forecasting
passenger
demand
for
ATs
remains
significant
challenge.
Traditional
approaches
often
rely
on
centralized
data
collection
and
analysis,
which
can
raise
privacy
concerns
incur
high
communication
costs.
To
address
these
challenges,
We
propose
collaborative
model
using
Federated
Learning
(FL)
city
transportation
systems.
Our
proposed
approach
enables
different
regions
to
collaboratively
learn
improve
their
models
through
FL
while
preserving
data.
use
several
backpropagation
neural
networks
as
local
collaborating
train
global
without
directly
sharing
shares
only
updates
with
that
aggregates
them,
is
then
sent
back
them.
reduces
costs
by
facilitating
learning
from
each
other’s
direct
sharing.
evaluate
our
real-world
dataset
over
4500
taxis
Bangkok,
Thailand.
By
utilizing
MATLAB2022b,
compared
popular
baseline
methods
existing
research
taxi
Results
demonstrate
outperforms
forecasting,
surpassing
terms
accuracy,
preservation,
performance
metrics
such
Root
Mean
Square
Error
(RMSE),
Absolute
(MAE)
R-squared
(
$$R^2$$
Language: Английский
Citations
10
Advances in electronic government, digital divide, and regional development book series, Journal Year: 2024, Volume and Issue: unknown, P. 305 - 334
Published: Oct. 24, 2024
This paper provides an in-depth introduction to the Internet of Things (IoT) in context smart homes, discussing components and evolution homes. It presents a comprehensive literature review tracing development homes over time. The further explores implementation China, Malaysia, India, focusing on adoption rates, cultural acceptance, economic capability individuals. highlights contrasting differences these three aspects: Adoption Rate, Cultural Acceptance Economic condition population across countries: China Myanmar. results section underscores significance this research understanding dynamics home its implications for future development. study contributes growing body knowledge IoT, offering valuable insights policymakers, researchers, industry practitioners.
Language: Английский
Citations
9
Applied Sciences, Journal Year: 2025, Volume and Issue: 15(3), P. 1057 - 1057
Published: Jan. 22, 2025
Accurate weather prediction and electrical load modeling are critical for optimizing energy systems mitigating environmental impacts. This study explores the integration of novel Mean Background Method Estimation with Explainable Artificial Intelligence (XAI) aim to enhance evaluation understanding time-series models in these domains. The or temperature predictions regression-based problems. Some XAI methods, such as SHAP, require using base value model background provide an explanation. However, contextualized situations, default is not always best choice. selection can significantly affect corresponding Shapley values. paper presents two innovative methods designed robust context-aware explanations regression problems, addressing gaps interpretability. They be used improve make more conscious decisions made by that use data.
Language: Английский
Citations
1
Solar Energy and Sustainable Development, Journal Year: 2025, Volume and Issue: 14(1), P. 237 - 257
Published: March 6, 2025
The transition to a sustainable energy future in Ghana faces critical challenges, particularly integrating renewable sources like solar and wind into the national grid. This study examined Ghana’s progress adoption using International Atomic Energy Agency’s (IAEA) Model for Supply Strategies Their General Environmental Impacts (MESSAGE) tool. It evaluates feasibility of achieving 10% target set policies by 2030 beyond, highlighting key challenges their impact on country’s efforts. findings revealed significant shortfall, with penetration reaching only 4.77%, far below targeted 10%. actual installed capacity ranges from 150.87 MW 377.18 MW, falling considerably short projected 219.75 645.71 2020 2050, respectively. Expanding sector remains challenging, fossil-based thermal generation continuing dominate, raising concerns about emissions sustainability. Overcoming barriers requires policies, investment storage, smart grids, financial incentives. Additionally, renewables low-carbon baseload options Small Modular Reactors (SMRs) could accelerate transition. Achieving will depend strong governmental commitment, private involvement, technological innovation bridge gap between targets while significantly creating jobs.
Language: Английский
Citations
1