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 …

Electric load forecasting (ELF) is a vital process in the planning of the electricity industry and
plays a crucial role in electric capacity scheduling and power systems management and …

Energy forecasting covers a wide range of prediction problems in the utility industry, such as
forecasting demand, generation, price, and power load over time horizons and different …

Variable electrical load and ever-increasing load demand need to be predicted or
forecasted to avoid the energy crisis. In this paper, machine learning based ANN is explored …

In this project work, we develop a Fuzzy system to forecast electrical load in both short and
longterm basis. Here, we consider temperature, humidity, seasons of a year and time …

Load demand is highly stochastic and uncertain. This is because it was highly influenced by
a number of variables like load type, weather conditions, time of day, the seasonality factor …

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 …

The estimate of electricity appeal in modernistic years is becoming progressively relevant
thanks to market-free trade and, thus, the initiation of sustainable assets. To satisfy the …

Minimization of electrical energy wastage and provision of its regular supply make electrical
load forecasting an important aspect of the power infrastructure. An accurate load …

Disturbances are a recurring issue in power systems. Nevertheless, our system remains
stable as extra signals are injected into the voltage regulators to prevent an unstable mode …