As power systems evolve by integrating renewable energy sources, distributed generation,
and electric vehicles, the complexity of managing these systems increases. With the …

With the massive installation of distributed renewable energy (DRE) generation, many
prosumers with the dual attributes of load and power supply have emerged. Different DRE …

This paper introduces a novel hybrid optimization technique aimed at improving the
prediction accuracy of solar photovoltaic (PV) outputs using an Improved Hippopotamus …

For the management of building operations, hourly building energy consumption prediction
(HBECP) is critical. Many factors, such as energy types, expected day intervals, and …

In recent years, the energy landscape has undergone significant transformations,
characterized by the integration of renewable energy sources, smart grids, and the …

Geospatial is going to be the absolute heart of making sense of trillions of bits of data that
are going to be surveyed by big machines. The buzz word of the last 4-5 years has been …

This technical abstract discusses a method for exploring dynamic clustering for analysing
network time series information. The proposed approach is based on a mixture of records …

Medium and long-term power load forecasting with days as the forecast step length is of
great significance to power grid planning, power supply configuration and power grid …

This paper tackles the challenge of concept drift (CD), where data patterns evolve over time,
hindering the accuracy of traditional forecasting models in smart grids. The study proposes a …