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#### Investigation of the relationship between **load** and loss **factors** for a Brazilian electric utility

(2006-12-01)

With the considerable increase of the losses in electric utilities of developing countries, such as Brazil, there is an investigation for loss calculation methodologies, considering both technical (inherent of the system) ...

#### 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, ...

#### Application of Conservative Power Theory to **load** and line characterization and revenue metering

(2012-12-14)

This paper proposes a set of performance factors for load characterization and revenue metering. They are based on the Conservative Power Theory, and each of them relates to a specific load non-ideality (unbalance, reactivity, ...

#### A statistical analysis of loss **factor** to determine the energy losses

(2008-12-01)

Given that the total amount of losses in a distribution system is known, with a reliable methodology for the technical loss calculation, the non-technical losses can be obtained by subtraction. A usual method of calculation ...

#### Analysis of efficiency and rationality in a sugar-alcohol mill using hyperboloid a-**load** and potency

(2013-08-26)

Brazil is the world's largest producer of sugar cane and which in the state of São Paulo concentrate the greatest amount of sugar cane field of the country. The sugar-alcohol sector has the capacity to produce sufficient ...

#### A demand power **factor**-based approach for finding the maximum **loading** point

(2017-10-01)

This paper presents a demand power factor-based approach (DPFA) for finding the maximum loading point (MLP) of a power system using the optimal power flow (OPF). In almost all the presented models in the literature two ...

#### Short-Term Multinodal **Load** Forecasting Using a Modified General Regression Neural Network

(Institute of Electrical and Electronics Engineers (IEEE), 2011-10-01)

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, a technique that is precise, reliable, and ...