Amanote Research

Amanote Research

    RegisterSign In

Forecasting Power Consumption Based on Source Information

Bulletin of the South Ural State University series "Power Engineering"
doi 10.14529/power160208
Full Text
Open PDF
Abstract

Available in full text

Date

January 1, 2016

Authors

Unknown

Publisher

FSAEIHE South Ural State University (National Research University)


Related search

Annual Energy Consumption Forecasting Based on PSOCA-GRNN Model

Abstract and Applied Analysis
Applied MathematicsAnalysis
2014English

Microcontroller Power Consumption Measurement Based on PSoC

Telfor Journal
Media TechnologySignal ProcessingComputer NetworksRadiationCommunicationsSoftware
2016English

A New Wind Power Forecasting Algorithm Based on Spark

2015English

Wind Power Forecasting Based on Extended Latin Hypercube Sampling

2016English

Very Short-Term Wind Power Forecasting Based on SVM-Markov

2015English

Solar Power Forecasting in Smart Grids Using Distributed Information

2014English

The Increase of Power Efficiency of Underground Coal Mining by the Forecasting of Electric Power Consumption

E3S Web of Conferences
EarthEnergyPlanetary SciencesEnvironmental Science
2017English

A New Wind Power Forecasting Approach Based on Conjugated Gradient Neural Network

Mathematical Problems in Engineering
MathematicsEngineering
2016English

Forecasting of Wastewater Discharge and the Energy Consumption in China Based on Grey Model

Mathematical Problems in Engineering
MathematicsEngineering
2019English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy