Urban building energy modeling (UBEM) is crucial for addressing energy consumption
challenges in urban environments. This study investigates the significant role of geometric …

The forecast of electricity demand in recent years is becoming increasingly relevant because
of market deregulation and the introduction of renewable resources. To meet the emerging …

The growth of vehicles on the roads of urban areas generates an increase in traffic density
and congestion. In this situation, most cities in modern countries are starting to implement …

Non-intrusive load monitoring (NILM) detects the energy consumption of individual
appliances by monitoring the overall electricity usage in a building. By analyzing voltage …

The development of renewable resources and the deregulation of the market have made
forecasting energy demand more critical in recent years. Advanced intelligent models are …

Making forecasts for the development of a given process over time, which depends on many
factors, is in some cases a difficult task. The choice of appropriate methods—mathematical …

With the increasing demand of energy, the energy production is not that much sufficient and
that's why it has become an important issue to make accurate prediction of energy …

Every building has certain electricity consumption patterns that depend on its usage.
Building electricity budget planning requires a consumption forecast to determine the …

The emerging applications of the Internet of Things (IoT) in various sectors generate a
gigantic amount of continuous time-series data. As IoT based sensors nodes are very …

A model of a system for forecasting electricity consumption in a national power system is
presented in this paper. Its goal is multi-factor forecasting based on forecast data on …