He et al., 2014 - Google Patents
A spatio-temporal analysis approach for short-term forecast of wind farm generationHe et al., 2014
- Document ID
- 16263454462295474378
- Author
- He M
- Yang L
- Zhang J
- Vittal V
- Publication year
- Publication venue
- IEEE Transactions on Power Systems
External Links
Snippet
In this paper, short-term forecast of wind farm generation is investigated by applying spatio- temporal analysis to extensive measurement data collected from a large wind farm where multiple classes of wind turbines are installed. Specifically, using the data of the wind …
- 238000004458 analytical method 0 title abstract description 53
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
- G06Q10/063—Operations research or analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation, e.g. computer aided management of electronic mail or groupware; Time management, e.g. calendars, reminders, meetings or time accounting
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
Similar Documents
Publication | Publication Date | Title |
---|---|---|
He et al. | A spatio-temporal analysis approach for short-term forecast of wind farm generation | |
Yang et al. | Support-vector-machine-enhanced markov model for short-term wind power forecast | |
US9460478B2 (en) | System and method for wind generation forecasting | |
Sanjari et al. | Probabilistic forecast of PV power generation based on higher order Markov chain | |
Orwig et al. | Recent trends in variable generation forecasting and its value to the power system | |
Zhang et al. | Modeling conditional forecast error for wind power in generation scheduling | |
Hedayati-Mehdiabadi et al. | Wind power dispatch margin for flexible energy and reserve scheduling with increased wind generation | |
Zou et al. | Bayesian CNN-BiLSTM and vine-GMCM based probabilistic forecasting of hour-ahead wind farm power outputs | |
US10181101B2 (en) | Support vector machine enhanced models for short-term wind farm generation forecasting | |
Ferreira et al. | A survey on wind power ramp forecasting. | |
Yang et al. | Probabilistic short-term wind power forecast using componential sparse Bayesian learning | |
Sideratos et al. | Using radial basis neural networks to estimate wind power production | |
Sanandaji et al. | Low-dimensional models in spatio-temporal wind speed forecasting | |
Iversen et al. | Leveraging stochastic differential equations for probabilistic forecasting of wind power using a dynamic power curve | |
Louie et al. | Probabilistic modeling and statistical characteristics of aggregate wind power | |
Colak et al. | Multi-time series and-time scale modeling for wind speed and wind power forecasting part I: Statistical methods, very short-term and short-term applications | |
Liu et al. | An integrated wind power forecasting methodology: interval estimation of wind speed, operation probability of wind turbine, and conditional expected wind power output of a wind farm | |
Zhang et al. | Hybrid wind speed forecasting model study based on SSA and intelligent optimized algorithm | |
Li et al. | Multivariable time series prediction for the icing process on overhead power transmission line | |
Gallego‐Castillo et al. | Identifying wind power ramp causes from multivariate datasets: a methodological proposal and its application to reanalysis data | |
Amjady et al. | A new hybrid iterative method for short‐term wind speed forecasting | |
Xiyun et al. | Wind power probability interval prediction based on bootstrap quantile regression method | |
Johnson et al. | Short term wind power forecasting using adaptive neuro-fuzzy inference systems | |
Lydia et al. | Wind speed and wind power forecasting models | |
Li et al. | Spatio-temporal forecasting of weather-driven damage in a distribution system |