The economic growth of every nation is highly related to its electricity infrastructure, network,
and availability since electricity has become the central part of everyday life in this modern …

Load forecasting (LF), particularly short‐term load forecasting (STLF), plays a vital role
throughout the operation of the conventional power system. The precise modelling and …

Energy forecasting covers a wide range of prediction problems in the utility industry, such as
forecasting demand, generation, price, and power load over time horizons and different …

The paper addresses the problem of insufficient knowledge on the impact of noise on the
auto-regressive integrated moving average (ARIMA) model identification. The work offers a …

Forecasting complex time series faces a huge challenge due to its high volatility. To improve
the accuracy and robustness of prediction, this paper proposes a bi‐level ensemble learning …

Electric consumption prediction methods are investigated for many reasons, such as
decision-making related to energy efficiency as well as for anticipating demand and the …

In recent years, the electricity industry has become increasingly important to social and
economic development. For sustainability of the power industrial business, an accurate …

For the future energy system it becomes increasingly important that biogas plants produce
electricity in a demand-oriented way to compensate electricity production from fluctuating …

The decomposition of a time series into components is an exceptionally useful tool for
understanding the behaviour of the series. The decomposition makes it possible to …

Household load forecasting plays an important role in future grid planning and operation.
However, compared with aggregated load forecasting, household load forecasting faces the …