Editorial: Machine learning to support low carbon energy transition
نویسندگان
چکیده
EDITORIAL article Front. Energy Res., 03 April 2023Sec. Process and Systems Engineering Volume 11 - 2023 | https://doi.org/10.3389/fenrg.2023.1175280
منابع مشابه
Energy 2050: Making the Transition to a Secure Low-Carbon Energy System
This book gathers contributions from members of the UK Energy Research Centre, in the context of a collaborative research project. It addresses the challenge of determining how the United Kingdom might meet its objective of reducing greenhouse gas emissions by 80 per cent by 2050. This target was included in the UK’s 2008 Climate Change Act. Yet, significant changes are required in the UK energ...
متن کاملThe UK low carbon energy transition: prospects and challenges
Under the 2008 Climate Change Act, the UK has committed to reducing its greenhouse gas emissions by 80% by 2050. This implies a radical transformation of systems for meeting energy service demands in particular, a transition to a low carbon system of electricity generation and supply. Despite efforts by the UK Department for Energy and Climate Change (DECC) to examine pathways to 2050, most of ...
متن کاملwillingness to communicate in the iranian context: language learning orientation and social support
why some learners are willing to communicate in english, concurrently others are not, has been an intensive investigation in l2 education. willingness to communicate (wtc) proposed as initiating to communicate while given a choice has recently played a crucial role in l2 learning. it was hypothesized that wtc would be associated with language learning orientations (llos) as well as social suppo...
Guest Editorial: Machine Learning for Signal Processing
Signal processing including analysis, understanding, detection, estimation, and modelling of the events and trends, the way they evolve, and the abnormalities and anomalies affecting them have attracted many researchers around the globe. Signal processing theory originates from mathematical foundation with astonishing applications which help information technologists discover and invent new rea...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Frontiers in Energy Research
سال: 2023
ISSN: ['2296-598X']
DOI: https://doi.org/10.3389/fenrg.2023.1175280