I evaluate the out-of-sample forecasting performance of five models of Chinese and Indian energy consumption. The results are mixed, but in general the auto-regressive distributed lag and unobserved components models perform the best over multiple evaluation criteria. I then use these two models...

Energy storage is a potential alternative to conventional network reinforcement of the low voltage (LV) distribution network to ensure the grid’s infrastructure remains within its operating constraints. This paper presents a study on the control of such storage devices, owned by distribution...

This paper set out to identify the significant variables which affect residential low voltage (LV) network demand and develop next day total energy use (NDTEU) and next day peak demand (NDPD) forecast models for each phase. The models were developed using both autoregressive integrated moving...

In this paper we introduce HECTOR, a new and advanced long-term electricity market model that simulates market behavior bottom-up through opportunistic, variable cost-based bidding of individual power plants into auction-based national markets with international interconnection capacities....

A hypothesis of uncertain future was created and first applied in the field of utility and prospect theories. An extension of application of the hypothesis to the field of forecasting is considered in the article. The concept of inevitability of unforeseen events is a part of the hypothesis of...

This paper examines the economic scenario of the United States, before and after the 2012 US Presidential election by analyzing various macroeconomic variables such as GDP, Public Debt, Exchange Rate, Social Benefit Spending, Trade, Budget Deficit/ Surplus, Unemployment Rate, Inflation and...

A well known macroeconometric model of the Italian economy is updated to produce forecasts at 1974.

In this article, we investigate conditional mean and variance forecasts using a dynamic model following a k-factor GIGARCH process. We are particularly interested in calculating the conditional variance of the prediction error. We apply this method to electricity prices and test spot prices...

The forecast plays an important role in the planning, the decision-making and control in any domain of activity, including the sportive phenomenon of the soccer. The experience has shown that the extrapolative or not casual models (univariate models), that use only the information of its past...