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Due to the high variability of energy consumption over time and the impossibility of its long-term storage, an important issue is the selection of appropriate precise tools for forecasting. The article describes the dynamic modelling and the results of predictive dynamic models developed for a group of individual customers. The results were evaluated on the basis of real data about consumption of...
Malaysia's yearly steady growth in electricity consumption as a result of fast development in various sectors of the Malaysian economy have increased the need to have a more robust, reliable and accurate load forecasting for short -, medium-, or long-term. A reliable method for short term load forecasting is crucial to any decision maker in a power utility company. Many studies have been made to improve...
In the present study, a scenario analysis is conducted for the future electricity system with a large amount of renewable power in Japan using a proposed integrated model with the aim of finding the best mix that produces the least amount of carbon and meets the future electricity demand. The final objective is to achieve a zero-carbon electricity system by the year of 2100, subject to various constrains...
Simulation, by resorting to suitable models, is often used by electric utilities in studies related with load forecasting, system reliability, power flow and demand-side management activities, among others. Nowadays, in restructured electricity market scenarios, activities involving buying and selling energy can also be studied through simulation. Different goals for those studies require different...
Increasing the penetration level of distributed generation (DG) into the distribution system is a new challenge for traditional electric power systems. Although it is generally recognised that DG has the potential of reducing energy losses in power systems, inappropriate modelling can lead to a misleading predictions for power loss reduction in DG planning. This paper presents an investigation into...
With the high-speed economic development in China, the transition of structural function in the urban land system highly effects the development of the urban electric load. Forecasting the urban electric load accurately is the foundation of decision making scientifically for the development and planning of the urban power grid in China. This paper improves the decision method of Transition Matrices...
Mid-long term load forecasting is a critical component in power system planning and operation. Aiming at the characteristic of it bring forward a comprehensive model basing on three target quantities which involve target gross quantity and target increase quantity and target increase rate. At first construct an analytic hierarchy process (AHP) model to analyze and appraise three target quantities...
In this paper, the basic concept of the grey system theory and the modeling of the grey system are introduced briefly. Based on the analysis of the characteristics of GM(1,1) model, Unbiased GM(1,1) model is proposed here. The comparison of GM(1,1) model and unbiased GM(1,1) model is given, the results of comparison show that Unbiased GM(1,1) model is better than GM(1,1) model. In the final part of...
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