Elsevier,
Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction, Wind Energy Engineering, 2020, Pages 75-99
This book chapter addresses SDG 7 by explaining wind forecasting and how hybrid models based on machine learning is improving accuracy.
Global and regional trends indicate that energy demand will soon be covered by a widespread deployment of renewable energy sources.
This book chapter addresses goals 7, 9, and 13 by reviewing the prospects and constraints for bioenergy development in Africa to ensure sustainable bioenergy production in the future.
Global warming, air pollution, and energy insecurity are three of the greatest problems facing humanity. To address these problems, we develop Green New Deal energy roadmaps for 143 countries.
The development of mass-market electric vehicles (EVs) using lithium-ion batteries (LIBs) is helping to propel growth in LIB usage, but end-of-life strategies for LIBs are not well developed.
The utilization of existing metallurgical infrastructure and integration of secondary process streams into primary metals production can provide advantages over separate recycling plants.
Nepal has been suffering from a serious energy crisis for decades. It has severely affected its economic, social and political developments.
The pyrolysis-catalytic steam reforming of six agricultural biomass waste samples as well as the three main components of biomass was investigated in a two stage fixed bed reactor.
This book chapter advances SDGs 13 and 7 by introducing the role of project finance in a renewable energy infrastructure.
