The prediction of carbon emission information in Yangtze River economic zone by deep learning

H Huang, X Wu, X Cheng - Land, 2021 - mdpi.com
This study aimed to respond to the national “carbon peak” mid-and long-term policy plan,
comprehensively promote energy conservation and emission reduction, and accurately …

Non-intrusive load monitoring (nilm), interests and applications

LW TOKAM, SS Ouro-djobo - Journal of the Nigerian Society of …, 2023 - journal.nsps.org.ng
In developing effective energy management mechanisms, new concepts have been
developed to provide new approaches. Non-intrusive load monitoring (NILM) is an approach …

Mobile application: awareness of the population on the environmental impact

L Andrade-Arenas, M Giraldo-Retuerto… - Bulletin of Electrical …, 2024 - beei.org
Nowadays, pollution keeps increasing due to social, political, economic, cultural, and
environmental factors. Environmental awareness is close to zero because people prioritize …

Green Infrastructure Development in Malaysia: A Review

NS Nor Shahrudin, NK Mustaffa, CM Mat Isa - … Infrastructure: Materials and …, 2024 - Springer
Infrastructure development is critical to the country's economic integration goal, and
sustainable infrastructure is a vital enabler of economic, social, and environmental …

Impact of NILM-based energy efficiency on environmental degradation and kuznets hypothesis analysis

KK Kee, YS Lim, J Wong, KH Chua - Bulletin of Electrical Engineering and …, 2022 - beei.org
Nonintrusive load monitoring (NILM) breaks down the aggregated electrical consumption
data into individual appliances. The feedback of disaggregated data to the consumers …

[PDF][PDF] Discontinuous conduction mode approach of ultra-lift DC-DC converter based on three windings coupled inductor

S Hasanzadeh, M Asadi, T Sutikno - International Journal of Power …, 2023 - academia.edu
These days, DC-DC boost converters play an essential role in a variety of applications.
Therefore, a variety of techniques were proposed in the literature to achieve the highest …

[PDF][PDF] The Prediction of Carbon Emission Information in Yangtze River Economic Zone by Deep Learning. Land 2021, 10, 1380

H Huang, X Wu, X Cheng - Socio-Economic Impacts of Carbon …, 2021 - researchgate.net
This study aimed to respond to the national “carbon peak” mid-and long-term policy plan,
comprehensively promote energy conservation and emission reduction, and accurately …