Industrial development with the growth, strengthening, stability, technical advancement,
reliability, selection, and dynamic response of the power system is essential. Governments …

With population increases and a vital need for energy, energy systems play an important
and decisive role in all of the sectors of society. To accelerate the process and improve the …

Building Energy prediction has emerged as an active research area due to its potential in
improving energy efficiency in building energy management systems. Essentially, building …

Anaerobic digestion (AD) is widely adopted for remediating diverse organic wastes with
simultaneous production of renewable energy and nutrient-rich digestate. AD process …

Solar energy has been rapidly utilized in urban environments owing to its significant
potential to fulfill the energy demand. The precise forecasting of solar energy, including solar …

The study investigates the impact of data normalization on the prediction of electricity
consumption in buildings using four multilayer Artificial Neural Networks (ANN) algorithms …

In the present research, the Grey Wolf Optimizer (GWO) was used to minimize the yearly
energy consumption of an office building in Seattle weather conditions. The GWO is a meta …

An accurate method for building energy consumption prediction is important for building
energy management systems. However, building energy consumption data often exhibits …

Quantifying uncertainties in the prediction of building energy consumption is critical to
building energy management systems. In this study, a deep-learning-based interval …

Accurate runoff forecasting plays an important role in guaranteeing the sustainable
utilization and management of water resources. Artificial intelligence methods can provide …