Recent advancements in data science and artificial intelligence, as well as the development
of clean and sustainable energy sources, have created numerous opportunities for energy …

Thermochemical conversion of biomass has been considered a promising technique to
produce alternative renewable fuel sources for future energy supply. However, these …

Coal and biomass co-thermochemical conversion has caught significant attentions, in which
the co-pyrolysis is always the primary process. The traditional pyrolysis kinetic models are …

Circular economy is a global trend as a promising strategy for the sustainable use of natural
resources. In this context, waste-to-energy presents an effective solution to respond to the …

Abstract Machine learning (ML) is a subtype of artificial intelligence that uses a computer's
ability to learn from a given set of accessible data. ML is becoming prominent in almost …

The main aim of the present study was to estimate the calorific value (CV) by considering the
uncertainty in municipal solid waste (MSW) generation using a cohesive Artificial Neural …

Pyrolytic oil is currently in its early stages of production and distribution but has the potential
to grow into a significant renewable energy source. It may be processed into a variety of …

Over the past few decades, the popularity of solar thermal collectors has increased
dramatically because of many significant advantages like being a free, natural …

This research aims to evaluate the influence of pyrolysis time and temperature on the
composition and properties of bio-oil derived from Mimusops elengi. Experiments were …

Higher heating value (HHV) is one of the most important parameters in determining the
quality of the fuels. In this study, comparatively large datasets of ultimate and proximate …