against a control algorithm with a perfect forecast. A specific case study, using storage on the LV network, is presented, and …

develop next day total energy use (NDTEU) and next day peak demand (NDPD) forecast models for each phase. The models were ….87 and forecast accuracy ranged from 0.74 to 0.84. NDPD hindcast accuracy ranged from 0.68 to 0.74 and forecast accuracy … combined the best traits of the ARIMAX and NN techniques, resulting in improved hindcast and forecast fits across the all three …

The forecast plays an important role in the planning, the decision-making and control in any domain of activity … (univariate models), that use only the information of its past values to forecast the future, can often predict future with more … accuracy than causal or multivariate models. In this paper, we model and forecast the offensive effectiveness of the soccer …

Deficit/ Surplus, Unemployment Rate, Inflation and others. We forecast the macroeconomic variables post 2012 using ARIMA …

article aims to describe econometric estimation of money transfers associated with remittances. …

This paper compares forecast accuracy of two Dynamic Factor Models in a context of constraints interms of data … availability. Estimation technique and properties of the factor decomposition depend onthe cross section dimension of the dataset … prescreened variables. Short term outof-sample forecast of GDP growth is carried out with both models reproducing the real time …

are considered. Generally, preliminary preparations of forecast corrections are shown to be able, under specified …