Balancing the production and consumption of electricity is an urgent task. Its implementation
largely depends on the means and methods of planning electricity production. Forecasting is …

The development of data-driven building energy consumption prediction models has gained
more attention in research due to its relevance for energy planning and conservation …

Energy-saving is a global challenge and one of the hot research topics of this decade. The
need for sustainable technologies and solutions for energy-saving dramatically increased in …

The connectivity of our surrounding objects to the internet plays a tremendous role in our
daily lives. Many network applications have been developed in every domain of life …

Smart homes incorporate several devices that automate tasks and make our lives easy.
These devices can be useful for many things, like security access, lighting, temperature, etc …

Short-term residential load forecasting is the precondition of the day-ahead and intra-day
scheduling strategy of the household microgrid. Existing short-term electric load forecasting …

Blockchain is regarded as a potential technology for transforming the architecture,
engineering, and construction (AEC) industry, and the number of related publications is …

A multi-purpose building with different applications such as residential, office, cultural,
restaurant, parking, etc. is analyzed in this research. The facilities in many multi-purpose …

This work explores the process of predicting energy consumption in smart buildings based
on the consumption of devices and appliances. Particularly, this work studies the process of …

The growing energy demand with diminishing energy resources calls for development of
optimal indoor control system through accurate energy and occupant comfort modeling in a …