Electric Load Forecasting
Mostrando 1-10 de 10 artigos, teses e dissertações.
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1. Electric power load in Brazil: view on the long-term forecasting models
Abstract Paper aims This paper aims to discuss how the energy load forecasts used by the System Operator and the main agents of the sector are made, and for what purposes, besides discuss the forecast deviations of the ONS’s and EPE’s models and their consequences and costs to the agents involved. Originality Fill a gap in the Brazilian literature wh
Prod.. Publicado em: 08/10/2018
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2. Spatial electric load forecasting using an evolutionary heuristic
A method for spatial electric load forecasting using elements from evolutionary algorithms is presented. The method uses concepts from knowledge extraction algorithms and linguistic rules' representation to characterize the preferences for land use into a spatial database. The future land use preferences in undeveloped zones in the electrical utility service
Sba: Controle & Automação Sociedade Brasileira de Automatica. Publicado em: 2010-08
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3. Sistema de suporte a decisão para analise e previsão de carga por barramento / Decision support system to the analysis and bus load forecasting
In a power operation system there are many variables that can Influence the execution of t ho control routines. The attendance of these variables is very important to aid the processes in the safe operation of the system. In the electric system the bus load level is an important variable in operation planning step. Accurate Information on the load level In e
Publicado em: 2009
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4. PREVISÃO DE DADOS DE ALTA FREQUÊNCIA PARA CARGA ELÉTRICA USANDO HOLT-WINTERS COM DOIS CICLOS / FORECASTING HIGH FREQUENCY LOAD DATA USING A DOUBLE CYCLE HOLT WINTERS APPROACH
The forecast for high frequency data is fundamental for the safety and reliability of the electric power system operation. The methods of exponential smoothing, particularly the Holt-Winters approach and its variations, are appropriate for this type of data due to its highly adaptability and robustness. This work seeks to produce forecasts, every fifteen min
Publicado em: 2007
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5. Previsão de carga de curto prazo usando ensembles de previsores selecionados e evoluidos por algoritmos geneticos / Short-term load forecasting using esembles of selected and evolved predictors by genetic algorithms
This work proposes a methodology for short-term electric power load forecasting. This methodology is being widely used under the context of time series prediction and pattern recognition. It was named "ensembles" by the authors who developed it. This name carries the meaning of an assemblage of parts considered as forming a whole. Therefore, this name expres
Publicado em: 2006
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6. Sistema HÃbrido de PrevisÃo de Carga ElÃtrica em Curto Prazo Utilizando Redes Neurais Artificiais e LÃgica Fuzzy / Hybrid System of Electric Load Forecast in Short-term Using Artificial Neural Network and Fuzzy Logic
O presente trabalho apresenta um sistema de previsÃo de carga horÃria em curto prazo (sete dias) formado por duas etapas. Na primeira etapa foram escolhidas duas redes neurais artificiais para prever o consumo diÃrio total em um horizonte de sete dias, uma rede para os dias Ãteis e outra para aos dias nÃo-Ãteis, o processo de escolha das redes passou p
Publicado em: 2006
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7. HIBRID NEURO-FUZZY-GENETIC SYSTEM FOR AUTOMATIC DATA MINING / SISTEMA HÍBRIDO NEURO-FUZZY-GENÉTICO PARA MINERAÇÃO AUTOMÁTICA DE DADOS
This dissertation presents the proposal and the development of a totally automatic data mining system. The main objective is to create a system that is capable of extracting obscure information from complex databases, without demanding the presence of a technical specialist to configure it. The Hierarchical Neuro-Fuzzy Binary Space Partitioning model (NFHB)
Publicado em: 2004
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8. MODELO PARA PREVISÃO DA TEMPERATURA DE CONDUTORES DE LINHAS AÉREAS DE TRANSMISSÃO / MODEL FOR TRANSMISSION LINE CONDUCTORS TEMPERATURE FORECASTING
Transmission lines have a fundamental role in the electric system performance,connecting power sources to load centers. When the transmission system attains it`s transmission capability limit, the system must be expanded, either constructing new lines, or upgrading existing ones. Among the factors that can limit a transmission line transfer capability is the
Publicado em: 2002
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9. FORECAST LOAD MODEL USING NEURAL NETWORK: LAYER BY LAYER IMPROVEMENT / MODELO DE PREVISÃO DE CARGA UTILIZANDO REDES NEURAIS: OTIMIZAÇÃO CAMADA A CAMADA
It is developed in this essay a short forecast electric energy model (monthly forecast) to the electric system in Brazil, particularly to interconnected systems utilities, through a neural network model, which employs a layer by layer improvement algorithm. The aim of this proposition consists in demonstrating that good forecast results can be reached with t
Publicado em: 2000
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10. NEURAL NETWORKS IN LOAD FORECASTING IN ELECTRIC ENERGY SYSTEMS / PREVISÃO DE CARGA EM SISTEMAS ELÉTRICOS DE POTÊNCIA POR REDES NEURAIS
Esta dissertação investiga a utilização de Redes Neurais Artificiais (RNAs) na área de previsão de carga elétrica. Nesta investigação foram utilizados dados reais de energia relativos ao sistema elétrico brasileiro. O trabalho consiste de quatro partes principais: um estudo sobre o problema de previsão de carga no contexto de sistemas elétricos d
Publicado em: 1995