The Contribution of Energy Policies to Green Energy Transition in the Asia-Pacific Region
Renewable Energy,
Год журнала:
2024,
Номер
237, С. 121797 - 121797
Опубликована: Ноя. 1, 2024
Язык: Английский
Making hay while the sun shines: Energy security pathway for Africa
Energy Policy,
Год журнала:
2025,
Номер
198, С. 114512 - 114512
Опубликована: Янв. 28, 2025
Язык: Английский
Which, renewable or non-renewable energy, is more vital for the economic growth of OECD countries? A Bayesian hierarchical analysis
Heliyon,
Год журнала:
2025,
Номер
unknown, С. e42259 - e42259
Опубликована: Янв. 1, 2025
Язык: Английский
Renewable energies in Morocco: A comprehensive review and analysis of current status, policy framework, and prospective potential
Energy Conversion and Management X,
Год журнала:
2025,
Номер
unknown, С. 100967 - 100967
Опубликована: Март 1, 2025
Язык: Английский
Optimizing subsidy trajectory for carbon-mitigation technologies
Mitigation and Adaptation Strategies for Global Change,
Год журнала:
2025,
Номер
30(4)
Опубликована: Апрель 1, 2025
Язык: Английский
Smart Grid, Smart FiT: A data-driven approach to optimize microgrid energy market
Energy Policy,
Год журнала:
2025,
Номер
203, С. 114618 - 114618
Опубликована: Апрель 9, 2025
Язык: Английский
Rooftop solar PV in Bhutan: A systemic analysis of feed-in-tariff program
Energy Sustainable Development/Energy for sustainable development,
Год журнала:
2024,
Номер
83, С. 101591 - 101591
Опубликована: Ноя. 6, 2024
Язык: Английский
Research on the impact of enterprise digital transformation based on digital twin technology on renewable energy investment decisions
Energy Informatics,
Год журнала:
2024,
Номер
7(1)
Опубликована: Дек. 30, 2024
In
the
context
of
global
climate
change
and
sustainable
development,
enterprise
digital
transformation
has
become
key
to
improving
efficiency
competitiveness.
Digital
twin
technology,
as
an
emerging
tool,
enables
real-time
monitoring,
prediction,
optimization
by
creating
dynamic
virtual
models
real-world
processes.
This
paper
explores
impact
twin-based
on
renewable
energy
investment
decisions.
Through
empirical
analysis
over
200
companies
globally,
study
finds
that
using
technology
exhibit
higher
accuracy
in
These
show
improved
forecasting
consumption
returns,
gaining
a
competitive
edge.
On
average,
these
experience
15%
ROI
increase
for
their
investments
enjoy
20%
acceleration
decision-making
process.
Furthermore,
delves
into
how
adoption
differs
across
various
company
sizes
industries,
providing
actionable
insights
guidance
enterprises
embarking
journey.
Язык: Английский