Integration of photovoltaics into power grids is difficult as solar energy is highly dependent
on climate and geography; often fluctuating erratically. This causes penetrations and voltage …

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 …

The smart grid concept is introduced to accelerate the operational efficiency and enhance
the reliability and sustainability of power supply by operating in self-control mode to find and …

An accurate short-term load forecasting (STLF) is one of the most critical inputs for power
plant units' planning commitment. STLF reduces the overall planning uncertainty added by …

Nowadays, direct current (DC) microgrid is gaining importance due to the wide utilization of
DC loads, integration of solar photovoltaic (PV) and energy storage devices, and no …

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 …

Short-Term Load Forecasting (STLF) is the most appropriate type of forecasting for both
electricity consumers and generators. In this paper, STLF in a Microgrid (MG) is performed …

A novel, hybrid structure for week-ahead load forecasting is presented. It is the energy
market evolution that compels its participants to require load predictions whose accuracy …

The energy generated by a solar photovoltaic (PV) system depends on uncontrollable
factors, including weather conditions and solar irradiation, which leads to uncertainty in the …

Accurate prediction of load has become one of the most crucial issue in the energy
management system of the microgrid. Therefore, a precise load forecasting tool is necessary …