Building energy consumption modeling and forecasting is essential to address buildings
energy efficiency problems and take up current challenges of human comfort, urbanization …

Energy planning models (EPMs) play an indispensable role in policy formulation and energy
sector development. The forecasting of energy demand and supply is at the heart of an EPM …

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 …

In recent decades, many countries have encountered air pollution and environmental
problems caused by greenhouse gas (GHG) emissions. One of the essential approaches to …

Reservoir water level (RWL) prediction has become a challenging task due to spatio-
temporal changes in climatic conditions and complicated physical process. The Red Hills …

In the retail stage of a food supply chain, food waste and stock-outs occur mainly due to
inaccurate forecasting of sales which leads to incorrect ordering of products. The time series …

With the continuous development of financial markets worldwide to tackle rapid changes
such as climate change and global warming, there has been increasing recognition of the …

With the growth of population, many countries face the challenge of supplying energy
resources. One approach to managing and planning these resources is to predict energy …

Accurate indoor temperature forecasting can facilitate energy savings of the building without
compromising the occupant comfort level, by providing more accurate control of the HVAC …

A composite forecasting framework is designed and implemented successfully to estimate
the prediction intervals of wind speed time series simultaneously through machine learning …