BACKGROUND Electrical burns account for a significant percentage of fatal accidents. Each year, a number of consumers in Iran suffer from electrical injuries due to technical problems, equipment failures, and the unauthorized use of electricity. The aim of this study was to examine the root causes of accidents that involved electricity in the district served by the Western Tehran Province Elect...

Germany has set ambitious targets to transform its energy system from being based on fossil fuels and nuclear to renewable energies, requiring electricity grids to be upgraded. As a result there is significant public pressure in some German cities to exert greater local control over electricity distribution infrastructure. A case study approach was used to investigate contestations around owner...

This paper presents an optimal scheduling model for a microgrid participating in the electricity distribution market in interaction with the Distribution Market Operator (DMO). The DMO is a concept proposed here, which administers the established electricity market in the distribution level, i.e., similar to the role of Independent System Operator (ISO) in the wholesale electricity market, sets...

The multi-point values of an appropriate smoothing parameter of HP-filter algorithm for midterm electricity load demand (MELD) forecasting are proposed. The case study employs the data based on the organization of the Electricity Generating Authority of Thailand (EGAT). The research shows the growth at rate of weather and economic factors influencing to the electricity demand. The main focus of...

Australia has topped the world in the penetration of residential roof-top solar generation systems. These residential solar generation systems are connected to the Low Voltage (LV) supply network which is not designed for two-way flow of electricity. Localized voltage rises due to excess solar generation feeding energy back into the supply network is commonly experienced. Supply utilities do no...

Since the early 1990s, an increasing number of countries worldwide have liberalized their electricity power sectors. Contrary to before, when power sectors were not open to competition and prices were set by regulators according to the cost of generation, transmission and distribution, electricity prices are now determined by an equilibrium of supply and demand. On one hand, electricity contrac...

Increased electric energy consumption in recent years, associated economic problems, reduced reliability and increased power losses in electric networks. One of the main solutions in smart grids to overcome the mentioned problems is demand response programs. In demand response programs, operators apply time-varying tariffs to consumers, and convince them to change their consumption pattern. Amo...

This paper presents a comparative study of six soft computing models namely multilayer perceptron networks, Elman recurrent neural network, radial basis function network, Hopfield model, fuzzy inference system and hybrid fuzzy neural network for the hourly electricity demand forecast of Czech Republic. The soft computing models were trained and tested using the actual hourly load data obtained ...

Distribution system planning is extremely important for the end consumers of electricity; it is indeed become necessity to explore the area of real term planning of distribution system. The practical planning of distribution system incorporates the selection of optimal conductor size selection and capacitor placement in radial distribution network in distribution system. The load flow needs to ...