The increased digitalisation and monitoring of the energy system opens up numerous
opportunities to decarbonise the energy system. Applications on low voltage, local networks …

Short-term load forecasting is of major interest for the restructured environment of the
electricity market. Accurate load forecasting is essential for effective power system operation …

Wind speed forecasting plays a pivotal role in power dispatching and normal operations of
power grids. However, it is both a difficult and challenging problem to achieve high-precision …

The paper conducts a literature review of applications of autoregressive methods to short-
term forecasting of power demand. This need is dictated by the advancement of modern …

Application of support vector regression (SVR) with chaotic sequence and evolutionary
algorithms not only could improve forecasting accuracy performance, but also could …

Indoor heating and cooling systems largely influence the power demand of residential
buildings and can play a significant role in the Demand Side Management for energy …

The development of smart grid, especially using the demand side management (DSM)
programs in order to control the consumption pattern and optimize the energy consumption …

In this paper, a new prediction model for aggregated loads of buildings has been propose.
Due to high correlation of prediction performance with related horizons and aggregated …

Energy management system (EMS) within buildings has always been one of the main
approaches for an automated demand side management (DSM). These energy …

Energy consumption forecasting is of prime importance for the restructured environment of
energy management in the electricity market. Accurate energy consumption forecasting is …