Abstract The Self-Organizing Map (SOM) algorithm has attracted an ever increasing amount
of interest among researches and practitioners in a wide variety of elds. The SOM and a …

Feedforward neural networks, particularly multilayer perceptrons, are widely used in
regression and classification tasks. A reliable and practical measure of prediction …

This paper describes a load allocation model to be used in a distribution management
system (DMS) environment. A process of rough allocation is initiated, based on information …

This paper proposes a novel contribution factor (CF) approach to predict diversified daily
peak load of low voltage (LV) substations. The CF for each LV template developed in part I …

Estimates of the active and reactive load at certain load points, at regular intervals in the
daily load cycle, is a fundamental information for operational planning and real-time control …

This paper describes a system for estimating load curves at low-voltage (LV) substations.
The system is built by the aggregation of individual fuzzy inference systems of the Takagi …

У статті висвітлюються педагогічні принципи щодо формування готовності до
професійної взаємодії майбутніх офіцерів ЗСУ під час участі у міжнародних операціях з …

In the paper we describe a State Estimation model to be used in Energy/Distribution
Management Systems–EDMS. This model is an important evolution of the concept first …

This paper describes a real-world DMS environment in which intelligent tools and
techniques such as neural networks, fuzzy sets and meta-heuristics (like evolutionary …

Planing the operation in modern power systems requires suitable anticipation of load
evolution at different levels of distribution network. Under this perspective, load forecasting …