Amanote Research

Amanote Research

    RegisterSign In

A New Wind Power Forecasting Algorithm Based on Spark

doi 10.2991/icmmita-15.2015.101
Full Text
Open PDF
Abstract

Available in full text

Date

January 1, 2015

Authors
Shaomin ZhangPeng ChenBaoyi Wang
Publisher

Atlantis Press


Related search

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

Mathematical Problems in Engineering
MathematicsEngineering
2016English

Wind Power Forecasting Based on Extended Latin Hypercube Sampling

2016English

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

2015English

A Beacon Transmission Power Control Algorithm Based on Wireless Channel Load Forecasting in VANETs

PLoS ONE
Multidisciplinary
2015English

Short-Term Wind Power Forecasting Using Support Vector Regression and Harmony Search Algorithm

2016English

Affinity Propagation Clustering Algorithm Based on Spark Platform

2016English

Research on Short-Term Wind Power Forecasting by Data Mining on Historical Wind Resource

Applied Sciences (Switzerland)
InstrumentationMaterials ScienceFluid FlowEngineeringComputer Science ApplicationsProcess ChemistryTransfer ProcessesTechnology
2020English

Research on Power Load Forecasting Model Based on Hybrid Algorithm Optimizing BP Neural Network

Open Electrical and Electronic Engineering Journal
Electronic EngineeringElectrical
2014English

A Novel Combination Forecasting Algorithm Based on Time Series

International Journal of Database Theory and Application
Computer Science
2015English

Amanote Research

Note-taking for researchers

Follow Amanote

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

Privacy PolicyRefund Policy