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Short-term multinodal load forecasting in distribution systems using general regression neural networks
(2011-10-05)
Multinodal load forecasting deals with the loads of several interest nodes in an electrical network system, which is also known as bus load forecasting. To perform this demand, it is necessary a technique that is precise, ...
Estimation of Concentration and Load of Suspended Bed Sediment in a Large River by Means of Acoustic Doppler Technology
(American Society of Civil Engineers, 2014-03)
The standard experimental methods used for sampling suspended loads in large rivers are usually time consuming, unsafe, rather expensive, and have a limited spatial resolution. Acoustic Doppler current profilers (ADCPs), ...
Load management: Model-based control of aggregate power for populations of thermostatically controlled loads
(Elsevier, 2012-03)
Large groups of electrical loads can be controlled as a single entity to reduce their aggregate power demand in the electricity network. This approach, known as load management (LM) or demand response, offers an alternative ...
An optimal power flow solution to deregulated electricity power market using meta-heuristic algorithms considering load congestion environment
In this article, the Improved Mayfly Algorithm (IMA) is used as an upgraded form of the Mayfly Algorithm (MA), featuring simulated binary crossover and polynomial mutation operators replacing the arithmetic crossover and ...
Load Characterization and Revenue Metering Under Non-Sinusoidal and Asymmetrical Operation
(Institute of Electrical and Electronics Engineers (IEEE), 2014-02-01)
This paper proposes an approach to load characterization and revenue metering, which accounts for the influence of supply deterioration and line impedance. It makes use of the Conservative Power Theory and aims at ...