The difficulty in balancing energy supply and demand is increasing due to the growth of
diversified and flexible building energy resources, particularly the rapid development of …

Solar photovoltaic systems largely integrated within the distribution grid are operated
'behind-the-meter'and power generation cannot be directly monitored by most utilities. The …

In this study, a novel hybrid model for forecasting crude oil futures price time series is
proposed. The combination of Bidirectional long short-term memory network (BiLSTM) …

Load forecasting in power microgrids and load management systems is still a challenge and
needs an accurate method. Although in recent years, short-term load forecasting is done by …

Electricity is an important indicator for economic development, especially electricity
production (EP), which is electricity industry managers making strategic decisions. There are …

In hydroelectric plants, the responsibility for the operation of the reservoirs typically lies with
the national system operator, who controls the level of the reservoirs based on a stochastic …

Accurate prediction of photovoltaic power generation is vital to guarantee smooth operation
of power stations and ensure users' electricity consumption. As a good forecasting tool …

Solar power has rapidly become an increasingly important energy source in many countries
over recent years; however, the intermittent nature of photovoltaic (PV) power generation …

This paper represents a new framework to forecast electricity power net-load in renewable
energy systems. Estimating electricity power net-load with high accuracy affects economic …

In response to the high uncertainty associated with residential net load due to the coupling
of distributed photovoltaic generation and user demand, this paper proposed a novel cluster …