In this study, a multilinear regression (MLR) and three machine learning techniques, ie, an
adaptive neuro-fuzzy inference system (ANFIS), an artificial neural network (ANN), and a …

In this study, three novel ensemble algorithms, namely, simple averaging, weighted
averaging, and meta-learning ensemble algorithms were employed to predict the higher …

Ineffective municipal solid waste (MSW) management is one of the major impediments to the
realisation of sustainable development goals by developing countries. Prudent waste …

While there are growing interests in the design and analysis of hybrid power systems fueled
by solar, wind, and diesel resources, the integration of municipal solid wastes into the …

This study investigates the technical and economic viability of using municipal solid waste–
fueled biogas generator as a backup in a hybrid power system comprising solar …

Several obstacles impede renewable energy penetration into the global energy sector.
Amongst the apparent challenges which require credible research attention, is the selection …

Higher heating value (HHV) is an essential parameter to consider when evaluating and
choosing biomass substrates for combustion and power generation. Traditionally, HHV is …

Hybrid intelligent systems have previously been centered on forecasting solar energy using
meteorological data parameters; nevertheless, such forecasting approaches have yielded …