The concept of a hydrogen economy presents a transformative vision for a sustainable
energy future. Hydrogen, as an energy carrier, offers a potential solution to various critical …

Urbanization presents complex challenges and opportunities for sustainable energy
management. Smart grids, characterized by their advanced information and communication …

We propose a multi-step training method for designing generalized linear classifiers. First,
an initial multi-class linear classifier is found through regression. Then validation error is …

Unsupervised learning is a type of algorithm that is designed to create a learning paradigm
for the sake of learning. The motivation of unsupervised learning is that although the data …

This paper presents a comprehensive lifecycle assessment (LCA) of solar photovoltaic (PV)
systems, evaluating the environmental and economic impacts from the manufacturing phase …

The transition to renewable energy sources is a pivotal economic and environmental
challenge of the 21st century. This paper explores the economic implications of shifting from …

The transition to a sustainable energy system is imperative for addressing climate change
and ensuring long-term environmental health. This paper explores the pivotal role that policy …

Wind energy, as a clean and renewable source, has gained significant traction in the global
quest for sustainable energy solutions. This paper explores the latest technological …

The urgency to mitigate climate change has necessitated the decarbonization of the energy
grid, with sustainable energy storage being pivotal to this transition. This paper explores the …

An algorithm is developed for automated training of a multilayer perceptron with two
nonlinear layers. The initial algorithm approximately minimizes validation error with respect …