Prediction of host load in Cloud systems is critical for achieving service-level agreements.
However, accurate prediction of host load in Clouds is extremely challenging because it …

This paper investigates a mobile edge computing environment for video analysis tasks
where edge nodes provide their computation capacities to process the computation …

An accurate forecast of natural gas (NG) consumption is of vital importance for economical
and reliable operation of the distributive NG networks. In this paper, a structure-calibrated …

Accurate load forecasting is conducive to the formulation of the power generation plan, lays
the foundation for the formulation of quotation, and provides the basis for the power …

We design a novel prediction method with Bayes model to predict a load fluctuation pattern
over a long-term interval, in the context of Google data centers. We exploit a set of features …

In this paper, a new combined method based on Clonal Selection Algorithm (CSA) and
Artificial Neural Network (ANN) machine learning algorithm has been presented for the …

We investigate a mobile edge computing environment where edge computing nodes
provide their computation capacities to process the computation intensive tasks submitted by …

Load forecasting plays a major role in planning and operation of a power system. Many
techniques are available in the literature among these neural networks, linear multiple …

Short term load forecasting in this paper is done by considering the sensitivity of the network
load to the temperature, humidity, day type parameters (THD) and previous load and also …

Short term load forecasting (STLF) is the prediction of electrical load for a period that ranges
from one hour to a week. The main objectives of the (STLF) are to predict future load for the …