The Experts below are selected from a list of 44277 Experts worldwide ranked by ideXlab platform

Vijay Vittal - One of the best experts on this subject based on the ideXlab platform.

  • a spatio temporal analysis approach for short Term Forecast of wind farm generation
    IEEE Transactions on Power Systems, 2014
    Co-Authors: Lei Yang, Junshan Zhang, Vijay Vittal
    Abstract:

    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 turbines' power outputs recorded across two consecutive years, graph-learning based spatio-temporal analysis is carried out to characterize the statistical distribution and quantify the level crossing rate of the wind farm's aggregate power output. Built on these characterizations, finite-state Markov chains are constructed for each epoch of three hours and for each individual month, which accounts for the diurnal non-stationarity and the seasonality of wind farm generation. Short-Term distributional Forecasts and a point Forecast are then derived by using the Markov chains and ramp trend information. The distributional Forecast can be utilized to study stochastic unit commitment and economic dispatch problems via a Markovian approach. The developed Markov-chain-based distributional Forecasts are compared with existing approaches based on high-order autoregressive models and Markov chains by uniform quantization, and the devised point Forecasts are compared with persistence Forecasts and high-order autoregressive model-based point Forecasts. Numerical test results demonstrate the improved performance of the Markov chains developed by spatio-temporal analysis over existing approaches.

Chieh-yu Peng - One of the best experts on this subject based on the ideXlab platform.

  • The long-Term Forecast of Taiwan’s energy supply and demand: LEAP model application
    Energy Policy, 2011
    Co-Authors: Yophy Huang, Chieh-yu Peng
    Abstract:

    The long-Term Forecasting of energy supply and demand is an extremely important topic of fundamental research in Taiwan due to Taiwan’s lack of natural resources, dependence on energy imports, and the nation’s pursuit of sustainable development. In this article, we provide an overview of energy supply and demand in Taiwan, and a summary of the historical evolution and current status of its energy policies, as background to a description of the preparation and application of a Long-range Energy Alternatives Planning System (LEAP) model of Taiwan’s energy sector. The Taiwan LEAP model is used to compare future energy demand and supply patterns, as well as greenhouse gas emissions, for several alternative scenarios of energy policy and energy sector evolution. Results of scenarios featuring “business-as-usual” policies, aggressive energy-efficiency improvement policies, and on-schedule retirement of Taiwan’s three existing nuclear plants are provided and compared, along with sensitivity cases exploring the impacts of lower economic growth assumptions. A concluding section provides an interpretation of the implications of model results for future energy and climate policies in Taiwan.

  • the long Term Forecast of taiwan s energy supply and demand leap model application
    Energy Policy, 2011
    Co-Authors: Yophy Huang, Yunchang Jeffrey Bor, Chieh-yu Peng
    Abstract:

    Abstract The long-Term Forecasting of energy supply and demand is an extremely important topic of fundamental research in Taiwan due to Taiwan’s lack of natural resources, dependence on energy imports, and the nation’s pursuit of sustainable development. In this article, we provide an overview of energy supply and demand in Taiwan, and a summary of the historical evolution and current status of its energy policies, as background to a description of the preparation and application of a Long-range Energy Alternatives Planning System (LEAP) model of Taiwan’s energy sector. The Taiwan LEAP model is used to compare future energy demand and supply patterns, as well as greenhouse gas emissions, for several alternative scenarios of energy policy and energy sector evolution. Results of scenarios featuring “business-as-usual” policies, aggressive energy-efficiency improvement policies, and on-schedule retirement of Taiwan’s three existing nuclear plants are provided and compared, along with sensitivity cases exploring the impacts of lower economic growth assumptions. A concluding section provides an interpretation of the implications of model results for future energy and climate policies in Taiwan.

Lei Yang - One of the best experts on this subject based on the ideXlab platform.

  • a spatio temporal analysis approach for short Term Forecast of wind farm generation
    IEEE Transactions on Power Systems, 2014
    Co-Authors: Lei Yang, Junshan Zhang, Vijay Vittal
    Abstract:

    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 turbines' power outputs recorded across two consecutive years, graph-learning based spatio-temporal analysis is carried out to characterize the statistical distribution and quantify the level crossing rate of the wind farm's aggregate power output. Built on these characterizations, finite-state Markov chains are constructed for each epoch of three hours and for each individual month, which accounts for the diurnal non-stationarity and the seasonality of wind farm generation. Short-Term distributional Forecasts and a point Forecast are then derived by using the Markov chains and ramp trend information. The distributional Forecast can be utilized to study stochastic unit commitment and economic dispatch problems via a Markovian approach. The developed Markov-chain-based distributional Forecasts are compared with existing approaches based on high-order autoregressive models and Markov chains by uniform quantization, and the devised point Forecasts are compared with persistence Forecasts and high-order autoregressive model-based point Forecasts. Numerical test results demonstrate the improved performance of the Markov chains developed by spatio-temporal analysis over existing approaches.

Yophy Huang - One of the best experts on this subject based on the ideXlab platform.

  • The long-Term Forecast of Taiwan’s energy supply and demand: LEAP model application
    Energy Policy, 2011
    Co-Authors: Yophy Huang, Chieh-yu Peng
    Abstract:

    The long-Term Forecasting of energy supply and demand is an extremely important topic of fundamental research in Taiwan due to Taiwan’s lack of natural resources, dependence on energy imports, and the nation’s pursuit of sustainable development. In this article, we provide an overview of energy supply and demand in Taiwan, and a summary of the historical evolution and current status of its energy policies, as background to a description of the preparation and application of a Long-range Energy Alternatives Planning System (LEAP) model of Taiwan’s energy sector. The Taiwan LEAP model is used to compare future energy demand and supply patterns, as well as greenhouse gas emissions, for several alternative scenarios of energy policy and energy sector evolution. Results of scenarios featuring “business-as-usual” policies, aggressive energy-efficiency improvement policies, and on-schedule retirement of Taiwan’s three existing nuclear plants are provided and compared, along with sensitivity cases exploring the impacts of lower economic growth assumptions. A concluding section provides an interpretation of the implications of model results for future energy and climate policies in Taiwan.

  • the long Term Forecast of taiwan s energy supply and demand leap model application
    Energy Policy, 2011
    Co-Authors: Yophy Huang, Yunchang Jeffrey Bor, Chieh-yu Peng
    Abstract:

    Abstract The long-Term Forecasting of energy supply and demand is an extremely important topic of fundamental research in Taiwan due to Taiwan’s lack of natural resources, dependence on energy imports, and the nation’s pursuit of sustainable development. In this article, we provide an overview of energy supply and demand in Taiwan, and a summary of the historical evolution and current status of its energy policies, as background to a description of the preparation and application of a Long-range Energy Alternatives Planning System (LEAP) model of Taiwan’s energy sector. The Taiwan LEAP model is used to compare future energy demand and supply patterns, as well as greenhouse gas emissions, for several alternative scenarios of energy policy and energy sector evolution. Results of scenarios featuring “business-as-usual” policies, aggressive energy-efficiency improvement policies, and on-schedule retirement of Taiwan’s three existing nuclear plants are provided and compared, along with sensitivity cases exploring the impacts of lower economic growth assumptions. A concluding section provides an interpretation of the implications of model results for future energy and climate policies in Taiwan.

Alain Bensoussan - One of the best experts on this subject based on the ideXlab platform.

  • evaluating long Term service performance under short Term Forecast updates
    Social Science Research Network, 2016
    Co-Authors: Alain Bensoussan, Qi Feng, Sirong Luo, Suresh Sethi
    Abstract:

    Managing product availability in a cost effective way has always been a major challenge faced by inventory managers. We study the problem of a firm selling a perishable product with short-Term demand patterns and a long-Term service target using the newsvendor framework. The newsvendor deTermines his long-Term order at the first stage, and revises the order according to a short-Term Forecast update at the second stage. He also evaluates a long-Term service target for his overall performance on product availability across all possible Forecast updates. We characterize his optimal inventory policy that minimizes the expected inventory cost while meeting the long-Term service target. Both in-stock rate and fill rate targets are examined.