Though globalization, industrialization, and urbanization have escalated the economic
growth of nations, these activities have played foul on the environment. Better understanding …

Abstract Machine learning (ML) is generating new opportunities for innovative research in
energy economics and finance. We critically review the burgeoning literature dedicated to …

Photovoltaic (PV) energy has recently been gaining much attention worldwide. It is the least
expensive energy source which can be used to replace part of the energy from fossil fuels …

The key factor in selecting appropriate forecasting model is accuracy. Given the deficiencies
of single models in processing various patterns and relationships latent in data, hybrid …

The existence of sunlight, air and other resources on earth must be used in an appropriate
way for human welfare while still protecting the environment and its living creatures. The …

The development of accurate forecasting systems can be challenging in real-world
applications. The modeling of real-world time series is a particularly difficult task because …

The existing measurement of the impact of the COVID-19 pandemic on energy consumption
is based on changes between the years, which demonstrates the changes in energy …

This chapter advances a hybrid forecasting model for the carbon market. The technology is
based on Least Squares Support Vector Machines augmented by particle swarm …

Air-quality forecasting is difficult because air quality time series are heterogeneous,
consisting of one-dimension series data and multi-dimension panel data. Therefore, a hybrid …

The objective of this study is to examine the causal relationship between energy
consumption and economic growth for ASEAN-5 countries which includes Indonesia …