A machine learning model to investigate factors contributing to the energy transition of utility and independent power producer sectors internationally
Summary: There is evidence of independent power producers dominating the electricity sector's uptake of renewable energy, with utilities lagging behind. Here, we build a machine-learning-based model with multiple dependent variables to simultaneously explore environmental policy and market stru...
Main Authors: | Galina Alova, Ben Caldecott |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2021-09-01
|
Series: | iScience |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S258900422100897X |
Similar Items
-
The role of carbon capture, utilization, and storage for economic pathways that limit global warming to below 1.5°C
by: Jenny G. Vitillo, et al.
Published: (2022-05-01) -
Affordable clean energy transition in developing countries: Pathways and technologies
by: Oluleke O. Babayomi, et al.
Published: (2022-05-01) -
The quantity-quality transition in the value of expanding wind and solar power generation
by: Enrico G.A. Antonini, et al.
Published: (2022-04-01) -
Decoupling without outsourcing? How China’s consumption-based CO2 emissions have plateaued
by: Zhifu Mi, et al.
Published: (2021-10-01) -
Decarbonization of the Indian electricity sector: Technology choices and policy trade-offs
by: Ivan Rudnick, et al.
Published: (2022-04-01)