Probabilistic Prediction of Regional Wind Power Based on Spatiotemporal Quantile Regression

Yu, Yixiao; Han, Xueshan; Yang, Ming; Yang, Jiajun

doi:10.1109/tia.2020.2992945

Cited by 83 publications

(30 citation statements)

References 38 publications

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“…e Analytic Hierarchy Process (AHP) [31] and Data Envelopment Analysis (DEA) [32] are the common comprehensive evaluation methods, which are widely used in all kinds of decision-making problems. In [33,34], the authors explore the use of hierarchical structure for classifying evaluation indices and employ the integrated AHP/DEA method in the different stages of evaluation, which verifies the more practicality and effectiveness in dealing with complex problems.…”

Section: Introductionmentioning

confidence: 96%

Comprehensive Pricing Scheme of the EV Charging Station considering Consumer Differences Based on Integrated AHP/DEA Methodology

Yin

Zhang

et al. 2020

Mathematical Problems in Engineering

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Scientific pricing of the electric vehicle charging station is closely related to consumer behavior inevitably. Existing studies have not considered the impacts of consumer differences on the charging price, which will fail to meet the interests of various types of consumers. This paper proposes a novel pricing method based on consumer classification and comprehensive evaluation strategies. First, the basis for consumer classification is established according to a single factor sensitivity analysis of the consumer benefit model; then, the nonlinear expression of the basis is piecewise linearized. Additionally, with the principle of least fitting error to determine consumers’ classification, the initial charging price schemes for various types of consumers are formulated. Second, this paper defines evaluation indices and establishes the hierarchy model for comprehensive evaluation schemes. Finally, the integrated analytic hierarchy process and data envelopment analysis are adopted for comprehensive evaluation of schemes. Simulations results illustrate that the proposed method can formulate the comprehensive optimal charging price considering consumer differences, and the method can reflect the impacts of both subjective and objective factors conveniently and accurately.

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Section: Introductionmentioning

confidence: 96%

Comprehensive Pricing Scheme of the EV Charging Station considering Consumer Differences Based on Integrated AHP/DEA Methodology

Yin

Zhang

et al. 2020

Mathematical Problems in Engineering

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“…Consider a random variable Y , and X k ( k = 1, 2, …, n ) a set of random explanatory variables [26]. The conditional cumulative distribution function F ( y ) is given by:

F (y) = P false(Y \leq y false| X_{1} = x_{1}, \dots, X_{k} = x_{k} false)

…”

Section: Methodsmentioning

confidence: 99%

“…In [75], tree‐based learning algorithms were used for wind power forecasting. The work [76] proposed a spatio‐temporal quantile regression model for long‐term wind power forecasting. Long‐term forecasting is out of the scope of our review paper.…”

Section: Modelsmentioning

confidence: 99%

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A review of short‐term wind power probabilistic forecasting and a taxonomy focused on input data

Bazionis

Karafotis

Georgilakis

2021

IET Renewable Power Gen

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A review of state‐of‐the‐art short‐term wind power probabilistic forecasting models is the focus here. The improvement of the accuracy and efficiency of probabilistic forecasting models has been in the centre of attention of researchers in recent years, since the need to further comprehend and efficiently use the uncertainty of forecasts is increasing. Since the optimal operation and control of energy systems and electricity markets is one of the important aspects of performing wind power forecasts, this review focuses in short‐term probabilistic forecasting models, which could prove to be useful in the daily planning and operation of power systems. The short‐term concept of forecasts is analysed in detail, along with the case studies and examples proposed by the reviewed literature. The key advantages and disadvantages of the reviewed probabilistic forecasting methodologies are identified. Furthermore, different classifications of the reviewed works according to the data that are used to provide an accurate forecasting model are also provided. Future directions in the field of short‐term wind power probabilistic forecasting are also proposed.

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“…Given multiple considerations, the prediction server includes a short-term prediction, medium-term prediction and a set of prediction processing methods, including air temperature, pressure, the direction of the wind and humidity, to timely and efficient power across the whole system [86][87][88].…”

Section: Wind Farm and Iotmentioning

confidence: 99%

Renewable Energy Sector in Bangladesh: The Current Scenario, Challenges and the Role of IoT in Building a Smart Distribution Grid

et al. 2021

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Advancement in electricity is the key ingredient that can actively take part in alleviating poverty and drastically improve the socio-economic status of the people of Bangladesh. The incorporation of renewable energy sources would help the country meet the energy requirement as well as contribute positively towards building a sustainable planet. The paper has extensively discussed the potential aspects of renewable energy resources in Bangladesh and how the Internet of Things can facilitate the implementation of intermittent sources. The regulatory and socio-economic aspects of the renewable energy industry have been explored and sustainable solutions will be discussed to fast-track the process of integrating various renewable energy sources in the power grid to meet the energy demand. The paper discusses the challenges associated with the RE integration in Bangladesh’s power mix and tries to mitigate it through the IoT. Besides that, an RE map for Bangladesh along with prospective power network has also been discussed in this work.

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Probabilistic Prediction of Regional Wind Power Based on Spatiotemporal Quantile Regression

Cited by 83 publications

References 38 publications

Comprehensive Pricing Scheme of the EV Charging Station considering Consumer Differences Based on Integrated AHP/DEA Methodology

Comprehensive Pricing Scheme of the EV Charging Station considering Consumer Differences Based on Integrated AHP/DEA Methodology

A review of short‐term wind power probabilistic forecasting and a taxonomy focused on input data

Renewable Energy Sector in Bangladesh: The Current Scenario, Challenges and the Role of IoT in Building a Smart Distribution Grid

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