Short-term water demand forecasting models address the case of a real-time optimal water
pumping schedule. This study focuses on developing artificial neural network (ANN) models …

With the growing competition among firms in the globalized corporate environment and
considering the complexity of demand forecasting approaches, there has been a large …

Building's energy demand is influenced by many factors, such as: weather conditions,
building structure and characteristics, energy consumption of components (lighting and …

Biomass gasification is an environment-friendly energy conversion process that utilizes bio-
waste materials to produce combustible gases. In recent literature, machine learning-based …

Enhancing sales and operations planning through forecasting analysis and business
intelligence is demanded in many industries and enterprises. Publishing industries usually …

According to the literature review performed, there are few methods focused on the study of
qualitative and quantitative variables when making demand projections by using fuzzy logic …

Background Efficient planning of hospital bed usage is a necessary condition to minimize
the hospital costs. In the presented work we deal with the problem of occupancy forecasting …

This study introduces a novel approach for integrating a compact mechanism into the Marine
Predator Algorithm (MPA), subsequently proposing innovative parallel and communication …

The paper is devoted to the problem of interpretation the dynamic models based on neural
network. Proposed approach is conclude in the building of the interpretive model in the form …

This work focuses on the problem of constructing accurate prediction models using an
adaptive neuro-fuzzy inference system (ANFIS) from data that are scarce and poorly scaled …