In recent years, due to the wide utilization of direct current (DC) power sources, such as
solar photovoltaic (PV), fuel cells, different DC loads, high-level integration of different …

In today's environment of the rapid rise of artificial intelligence (AI), debate continues about
whether it has beneficial effects on economic development. However, there is only a …

In general, reliable PV generation prediction is required to increase complete control quality
and avoid potential damage. Accurate forecasting of direct solar radiation trends in PV …

Background: With the development of smart grids, accurate electric load forecasting has
become increasingly important as it can help power companies in better load scheduling …

To sustain the complexity of growing demand, the conventional grid (CG) is incorporated
with communication technology like advanced metering with sensors, demand response …

In the smart grid, one of the most important research areas is load forecasting; it spans from
traditional time series analyses to recent machine learning approaches and mostly focuses …

Recently there has been a significant proliferation in the use of forecasting techniques,
mainly due to the increased availability and power of computation systems and, in particular …

Existing short-term bus load forecasting methods mostly use temporal domain features, such
as historical loads, to forecast and do not fully consider the influence of unstructured spatial …

在“双碳” 目标的驱动下, 构建以新能源为主体的新型电力系统是促进现代电力系统低碳转型发展
的重要前提与必然趋势. 由于复杂易变的多元负荷是新型电力系统的重要组成部分 …

Growth in electricity demand also gives a rise to the necessity of cheaper and safer electric
supply and forecasting electricity load plays a key role in this goal. In this study recurrent …