Journal of Power and Energy Engineering

Journal of Power and Energy Engineering

ISSN Print: 2327-588X
ISSN Online: 2327-5901
www.scirp.org/journal/jpee
E-mail: jpee@scirp.org
"A Literature Review of Wind Forecasting Methods"
written by Wen-Yeau Chang,
published by Journal of Power and Energy Engineering, Vol.2 No.4, 2014
has been cited by the following article(s):
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[149] Repeated wavelet transform based ARIMA model for very short-term wind speed forecasting
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[173] Integration of Micro Grid System using 3-Level Inverter
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[174] Department Of Electrical And Electronic Engineering Short-termwind-speed-to-wind-power Forecasting Using A Hybrid Of Particle Swarm Optimization And Artificial …
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[176] Business cases for wind battery storage
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[177] Doğrusal Ve Doğrusal Olmayan Metotlarla Bir Adım İleri Rüzgar Şiddeti Öngörüsü
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[178] The impact of renewable energy forecasts on intraday electricity prices
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[180] EFFECTS OF NUMERICAL WEATHER PREDICTIONS ON WIND POWER FORECASTS
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[181] Wind Power Forecasting
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[182] Generation Forecasting Models for Wind and Solar Power
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[183] Improved Stacked Ensemble based Model For Very Short-Term Wind Power Forecasting
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[184] Algorithms for technical integration of virtual power plants into German system operation
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[185] Estimation-Based Model Predictive Control for Automatic Crosswind Stabilization of Hybrid Aerial Vehicles
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[186] Ultra-short-term multi-step wind power prediction based on fractal scaling factor transformation
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[187] An intelligent framework for short-term multi-step wind speed forecasting based on Functional Networks
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[188] Generation Forecasting for Small Run-of-the-River Hydroelectric Systems Using Statistical Learning Models
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[192] Prediction of fatal accidents in Indian factories based on ARIMA
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[193] Ultra-short-term Multi-step Wind Power Prediction Based on Improved EMD and Reconstruction Method Using Run-length Analysis
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[194] Innovative Hybrid Modeling of Wind Speed Prediction Involving Time-Series Models and Artificial Neural Networks
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[198] Optimisation of the Structure of a Wind Farm—Kinetic Energy Storage for Improving the Reliability of Electricity Supplies
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[199] A survey of analytical methods for inclusion in a new energy-water nexus knowledge discovery framework
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[200] Forecasting from incomplete and chaotic wind speed data
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[201] Consumption and production forecast algorithm for a smart grid
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[202] Machine learning for energy-water nexus: challenges and opportunities
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[203] Ocena proizvodnje električne energije vetrne elektrarne z Weibullovo funkcijo
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[204] Comparison of Three Methods for Short-Term Wind Power Forecasting
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[205] A GA-PSO Hybrid Algorithm Based Neural Network Modeling Technique for Short-term Wind Power Forecasting
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[206] Positioning of operating responsibility of electrical energy storage: Case study: EES implementing in the Dutch electricity system
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[207] Novel Supervisory Control Method for Islanded Droop-Based AC/DC Microgrids
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[208] Metodologia Híbrida para a Previsão dos Preços do Mercado Elétrico com Integração Renovável
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[209] Interval deep generative neural network for wind speed forecasting
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[210] Technical Integration of Virtual Power Plants enhanced by Energy Storages into German System Operation with regard to Following the Schedule in Intra-Day
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[211] Load and RE Forecasting – Utilization and Impact on System Operation
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[212] Ultra-short Term Wind Speed Prediction under Multi-model Structure and Uncertainty Analysis
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[213] Short-term forecasting models of wind speed for airborne wind turbines: a comparative study
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[214] Two-Way Energy Flow Optimization Based on Smart Grid Concept
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[215] Short-term electricity trading for system balancing
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[216] Modeling, planning, application and management of energy systems for isolated areas: A review
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[217] A New Hybrid Prediction Method of Ultra-Short-Term Wind Power Forecasting Based on EEMD-PE and LSSVM Optimized by the GSA
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[218] Wind Power Forecasting Based on Echo State Networks and Long Short-Term Memory
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[219] Wind Power and Ramp Forecasting for Grid Integration
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[220] Stochastic wind speed modelling for estimation of expected wind power output
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[221] Spatio-temporal Graph Deep Neural Network for Short-term Wind Speed Forecasting
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[222] Assessment of Wind Power Prediction Using Hybrid Method and Comparison with Different Models
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[223] Estimation of renewable energy and built environment-related variables using neural networks–A review
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[224] Short‐term wind power prediction in microgrids using a hybrid approach integrating genetic algorithm, particle swarm optimization, and adaptive neuro‐fuzzy …
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[225] 24-hours wind speed forecasting and wind power generation in La Serena (Chile)
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[226] Transformer less Grid Integrated Wind Energy Conversion System Using Multilevel Inverter
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[227] Characterization of flexibility resources and distribution networks
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[228] An overview of forecasting techniques for load, wind and solar powers
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[229] Forecasting of wind speed using ANN, ARIMA and Hybrid models
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[230] Multi-step Ahead Wind Forecasting Using Nonlinear Autoregressive Neural Networks
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[231] Technical integration of virtual power plants into German system operation
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[232] Comparative investigation of short-term wind speed forecasting models for airborne wind turbines
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[233] Análise da complementaridade das gerações intermitentes no planejamento da operação eletro-energética da região nordeste brasileira
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[234] Short Term Wind Speed Forecasting using Hybrid ELM Approach
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[235] Optimized hybrid wind power generation with forecasting algorithms and battery life considerations
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[236] Combinatorial double auctions for multiple microgrid trading
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[237] A novel method based on Weibull distribution for short-term wind speed prediction
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[238] Performance Analysis of Time Series Forecasting Models for Short Term Wind Speed Prediction
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[239] Accurate Short-Term Power Forecasting of Wind Turbines: The Case of Jeju Island's Wind Farm
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[240] Flexible Reserve Margin Optimization for Increased Wind Generation Penetration
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[241] Smart grid integration of micro hybrid power system using 6-switched 3-level inverter
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[242] Short Term Wind Power Prediction Based on Improved Kriging Interpolation, Empirical Mode Decomposition, and Closed-Loop Forecasting Engine
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[243] Rough Deep Neural Architecture for Short-Term Wind Speed Forecasting
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[244] Simulation of Wind-Battery Microgrid Based on Short-Term Wind Power Forecasting
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[245] Short term solar insolation prediction: P-ELM approach
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[246] Development of an Offshore Specific Wind Power Forecasting System
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[247] Determination of Appropriate Distribution Functions for the Wind Speed Data Using the R Language
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[248] Implications of high wind penetration for the NEM
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[249] Comparison of forecasting methods for vertical axis wind turbine applications in an urban/suburban area
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[250] WIND FORECASTING USING ARTIFICIAL NEURAL NETWORKS: A SURVEY AND TAXONOMY
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[251] A Statistical Analysis of Short-Term Wind Power Forecasting Error Distribution
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[253] An ARIMA model for the forecasting of healthcare waste generation in the Garhwal region of Uttarakhand, India
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[254] Methodology and Precision Research of Wind Farm Power Prediction
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[255] Wind power forecasting: A case study in terrain using artificial intelligence
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[256] Review of distributed generation (DG) system planning and optimisation techniques: Comparison of numerical and mathematical modelling methods
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[258] A Nonlinear Autoregressive Neural Network Model for Short-Term Wind Forecasting
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[259] Increase of the Integration Degree of Wind Power Plants into the Energy System Using Wind Forecasting and Power Consumption Predictor Models by …
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[260] Support Vector Regression 기반의 단기 풍력발전 예측시스템 개발
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[262] Pronóstico a corto plazo de velocidad del viento a partir de datos incompletos
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[263] Cost minimization in multi wind farm power dispatch
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[264] Wind Speed Prediction using Back Propagation Mechanism in ANN
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[265] Wind speed time series reconstruction using a hybrid neural genetic approach
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[266] Increase of the Integration Degree of Wind Power Plants into the Energy System Using Wind Forecasting and Power Consumption Predictor Models by Transmission …
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[267] An Empirical Analysis of the Effect of Wind Power on the Level and the Volatility of the Electricity Price in the Nordic-Baltic Market
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[268] Wind Speed Prediction using Levenberg-Marqardt Back Propagation Neural Network
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[269] Wind Power Prediction Using a Hybrid Approach with Correction Strategy Based on Risk Evaluation
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[270] Pronóstico a corto plazo de velocidad del viento a partir de datos incompletos.
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[271] On The Development of Solar & Wind Energy Forecasting Application Using ARIMA, ANN and WRF in MATLAB
2017
[272] تخمین اقتصادی رزرو مورد نیاز مزارع بادی با بکارگیری شبکه عصبی در پیش‌بینی سرعت باد‎
2017
[273] Forecasting wind speed of Suva (Fiji) and Abaiang (Kiribati) using artificial neural network
2017
[274] Повышение степени интеграции ветроэнергетических станций в энергосистему путем использования у системного оператора математических моделей …
Problemele Energeticii …, 2017
[275] Wind prediction modelling and validation using coherent Doppler LIDAR data
2016
[276] Joint optimisation of generation and storage in the presence of wind
2016
[277] Sistema automático de estimação do potencial de produção eólica para Portugal Continental
2016
[278] A new wind power model using the lightning search algorithm
2016
[279] LONG TERM WIND SPEED PREDICTION USING WAVELET COEFFICIENTS AND SOFT COMPUTING
2016
[280] DEEPSO to Predict Wind Power and Electricity Market Prices Series in the Short-Term
2016
[281] A GA-BP hybrid algorithm based ANN model for wind power prediction
2016
[282] The impact of climate change on the wind energy resource of Suriname using Regional Climate Model (RCM) simulations
International Journal of Engineering and Applied Sciences, 2016
[283] Intelligent energy management control for independent microgrid
Sadhana, 2016
[284] Metodologia Híbrida de Previsão de Preços de Eletricidade e Potência Eólica
Dissertation, Open Repository of the University of Porto, 2016
[285] Modelling the Variability of the Wind Energy Resource on Monthly and Seasonal Timescales
Pré-publication, Document de travail, 2016
[286] K-means clustering with a new initialization approach for wind power forecasting
2016
[287] Enhanced Forecasting Approach for Electricity Market Prices and Wind Power Data Series in the Short-Term
Energies, 2016
[288] Most influential parametrical and data needs for realistic wind speed prediction
Renewable Energy, 2016
[289] Técnicas de ajuste geográfico e dinâmico de Modelos de Previsão de Produção Eólica
Dissertation, Open Repository of the University of Porto, 2016
[290] Enhanced power system operational performance with anticipatory control under increased penetration of wind energy
ProQuest Dissertations Publishing, 2016
[291] EMoFS Tekniği Kullanılarak Rüzgar Gücü Tahmini Yapılması Wind Power Prediction Using EMoFS Technique
2016
[292] Wind Speed Forecasting based on Statistical Auto Regressive Integrated Moving Average (ARIMA) method
IJCTA, 2016
[293] Demand forecasting in residential distribution feeders in the context of smart grids
2016
[294] Wind power prediction using EMoFS technique
2016
[295] Utilização de Micro FV com Armazenamento para Compensação da Intermitência da Energia Eólica
2016
[296] Short term wind power prediction using ANFIS
2016
[297] Técnicas de ajuste geográfico e dinâmico de modelos de previsão eólica
Dissertation, Open Repository of the University of Porto, 2016
[298] Lissage optimal de la charge électrique en présence de sources d'énergies renouvelables via le pilotage de la consommation des chauffe-eau
2016
[299] Examining nominal and ordinal classifiers for forecasting wind speed
2016
[300] Vėjo elektrinių integracijos į elektros energetikos sistemą ir galių balansavimo tyrimai
2016
[301] Investigations on Wind Resource Assessment and Wind Farm Layout Using Hybrid Algorithms and Simulation Tools
2015
[302] Aplicação de Heurísticas para Otimização e Parâmetros de Modelos de Previsão Eólica
Dissertation, Open Repository of the University of Porto, 2015
[303] Application Layer Protocol for Network Integration of a Smart Grid Residential Load-Shifting Algorithm
International Journal of Computer Science and Mobile Computing, 2015
[304] Modelling and fitting of the wind data using different time series models and investigating the relared applications of fitted data. Urla and RisØ cases
2015
[305] 수치 예측 알고리즘 기반의 풍속 예보 모델 학습
Journal of the Korea Society of Computer and Information, 2015
[306] Optimizing Local Least Squares Regression for Short Term Wind Prediction
2015
[307] Short Term Wind Power Generation Forecasting Using Adaptive Network-Based Fuzzy Inference System
2015
[308] Artificial Intelligence Techniques for Wind Power Prediction: A Case Study
Indian Journal of Science and Technology, 2015
[309] Comparison of BPN and RBF Neural Networks for Prediction of Wind Speed
International Journal of Computer & Modern Technology, 2015
[310] Wind speed prediction in the mountainous region of India using an artificial neural network model
Renewable Energy, 2015
[311] Short-term wind power prediction based on Hybrid Neural Network and chaotic shark smell optimization
International Journal of Precision Engineering and Manufacturing-Green Technology, 2015
[312] MODELOS DE SIMULAÇÃO DE CENÁRIOS DE PRODUÇÃO DE ENERGIA EÓLICA A PARTR DO MÉTODO DE HOLT-WINTERS E SUAS VARIAÇÕES
2015
[313] Aplicação de Heurísticas para Otimização de Parâmetros de Modelos de Previsão Eólica
Dissertation, Open Repository of the University of Porto, 2015
[314] A Review of EV Load Scheduling with Wind Power Integration
IFAC-PapersOnLine, 2015
[315] Learning Wind Speed Forecast Model based on Numeric Prediction Algorithm
2015
[316] Wind power potential assessment of 12 locations in western Himalayan region of India
Renewable and Sustainable Energy Reviews, 2014
[317] MODELING AND FITTING OF THE WIND DATA USING DIFFERENT TIME SERIES MODELS AND INVESTIGATING THE RELATED APPLICATIONS OF FITTED …
2014
[318] MODELING AND FITTING OF THE WIND DATA USING DIFFERENT TIME SERIES MODELS AND INVESTIGATING THE RELATED APPLICATIONS OF …
2014
[319] İslam hukukunda hasta hakları
2014
[320] Modeling and fitting of the wind data using different time series models and investigating the related applications of fitted data. Urla and Risø cases
2014
[321] A REVIEW ON GLOBAL WIND POWER FORECASTING APPROACHES
Журнал “Internationalе politik, 2001
[322] Short-Term Wind Energy Forecasting Using Deep Learning-Based Predictive Analytics
[323] Previsão de Geração no Médio Prazo em um Parque Eólico no Rio Grande do Sul utilizando o GFS e Redes Neurais Artificiais
[324] Application Of Artificial Intelligence In Generation Power Forecast Of Wind And Solar Power Plant
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