[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Hodge et al., 2012 - Google Patents

Characterizing and modeling wind power forecast errors from operational systems for use in wind integration planning studies

Hodge et al., 2012

View PDF
Document ID
11791629950862604160
Author
Hodge B
Ela E
Milligan M
Publication year
Publication venue
Wind Engineering

External Links

Snippet

An important consideration in wind power integration studies is the role that wind power forecasting will play in simulated high-penetration system operations. As no wind power forecast is perfect, an understanding of the forecast error distributions that are observed in …
Continue reading at www.researchgate.net (PDF) (other versions)

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
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GASES [GHG] EMISSION, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02E60/70—Systems integrating technologies related to power network operation and communication or information technologies mediating in the improvement of the carbon footprint of electrical power generation, transmission or distribution, i.e. smart grids as enabling technology in the energy generation sector not used, see subgroups
    • Y02E60/76—Computer aided design [CAD]; Simulation; Modelling

Similar Documents

Publication Publication Date Title
Hodge et al. Characterizing and modeling wind power forecast errors from operational systems for use in wind integration planning studies
Hodge et al. Wind power forecasting error distributions over multiple timescales
Hodge et al. Short-term load forecast error distributions and implications for renewable integration studies
Singh et al. A guide to solar power forecasting using ARMA models
Yan et al. Novel cost model for balancing wind power forecasting uncertainty
Fogle et al. Towards an improved understanding of statistical extrapolation for wind turbine extreme loads
US10742040B2 (en) System and method of determining forecast error for renewable energy fluctuations
Dong et al. Volatility of electricity price in Denmark and Sweden
US20140172329A1 (en) System and method for wind generation forecasting
WO2022110582A1 (en) Runoff forecasting method based on baseflow separation and artificial neural network model
Anahua et al. Markovian power curves for wind turbines
Pacudan Implications of applying solar industry best practice resource estimation on project financing
Zhang et al. Versatile distribution of wind power output for a given forecast value
CN104319807A (en) Method for obtaining multi-wind-farm-capacity credibility based on Copula function
Min et al. Evaluation of the long-term power generation mix: the case study of South Korea's energy policy
Siebert Development of methods for regional wind power forecasting
Mauch et al. What day-ahead reserves are needed in electric grids with high levels of wind power?
Hodge et al. Short-term load forecasting error distributions and implications for renewable integration studies
Kim et al. A probabilistic approach to potential estimation of renewable energy resources based on augmented spatial interpolation
CN110084403B (en) Multi-period joint probability density prediction method and system for current-carrying capacity of overhead conductor
Kreuwel et al. Forecasting day-ahead 1-minute irradiance variability from numerical weather predictions
Nymphas et al. Evaluation of the performance of five distribution functions for estimating Weibull parameters for wind energy potential in Nigeria
Liu et al. Effect of the quality of streamflow forecasts on the operation of cascade hydropower stations using stochastic optimization models
CN118569539A (en) Meteorological element downscaling forecasting method based on power grid division
Pinson et al. On-line adaptation of confidence intervals based on weather stability for wind power forecasting