The accurate prediction of energy consumption has effective role in decision making and
risk management for individuals and governments. Meanwhile, the accurate prediction can …

Urbanization increases electricity demand due to population growth and economic activity.
To meet consumer's demands at all times, it is necessary to predict the future building …

Energy conservation and preventive maintenance of equipment require the ability to
accurately predict future trends in shop floor power consumption to keep track of equipment …

Electric load forecasting is a challenging research, which is of great significance to the safe
and stable operation of power grid in epidemic period. In this paper, Long-Short-Term …

This research proposes a methodology for the selection of input variables based on
eXplainable AI (XAI) for energy consumption prediction. For this purpose, the energy …

Introduction: Power load forecasting and market price analysis have become crucial in the
context of complex power energy systems and volatile market prices. Deep learning …

SMS is a commonly used communication platform all over the world and is also used for
multiple purposes. However, spam SMS is a common problem that distracts user intent and …

Massive amount of electronic devices usage implies the total energy consumption
exponentially. In order to avoid energy depletion issues, an energy prediction scheme …

There's an increasing concern about the occurrence and spread of forest fires across the
globe, as they contribute to greenhouse gas emissions and play a major influential role in …

Baseline energy model is a model that relates the the energy consumption with its
respective independent variables in a building. Prior to modelling, the selection of the …