Solar irradiance monitoring network design using the variance quadtree algorithm

Yang, Di; Reindl, Thomas

doi:10.1186/s40807-014-0001-x

Cited by 22 publications

(2 citation statements)

References 20 publications

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“…The authors in [93] use ground measurement data from NY. For their network design, they have used the gridded satellite derived data from the State University of NY.…”

Section: Tucson Usamentioning

confidence: 99%

Solar irradiance resource and forecasting: a comprehensive review

Kumar

Yagli

Kashyap³

et al. 2020

IET Renewable Power Generation

102

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With the increase in demand for energy, penetration of alternative sources of energy in the power grid has increased. Photovoltaic (PV) energy is the most common and popular form of energy sources which is widely integrated into the existing grid. As solar energy is intermittent in nature, to ensure uninterrupted and reliable power supply to the prosumers, it is essential to forecast the solar irradiance. Accurate solar forecasting is necessary to facilitate large-scale modelling and deployment of PV plants without disrupting the quality and reliability of the power grid as well as to manage the power demand and supply. There are various methods to predict the solar irradiance such as numerical weather prediction methods, satellite-based approaches, cloud-image based methodologies, data-driven methods, and sensor-network based approaches. This study gives an overall review of the different resources and methods used for forecasting solar irradiance in different time horizons and also gives an extensive review of the sensor networks that are used for determining solar irradiance. The various error metrics and accessible data sets available for the sensor networks are also discussed that can be used for validation purposes.

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“…The authors in [93] use ground measurement data from NY. For their network design, they have used the gridded satellite derived data from the State University of NY.…”

Section: Tucson Usamentioning

confidence: 99%

Solar irradiance resource and forecasting: a comprehensive review

Kumar

Yagli

Kashyap³

et al. 2020

IET Renewable Power Generation

102

View full text Add to dashboard Cite

show abstract

“…Although the work is perhaps the first in using PCA to design irradiance monitoring network, it has two drawbacks. The first drawback, as mentioned by Yang and Reindl (2015), is its inflexible design criterion. Since the data matrix is formed by daily CMF values, the optimality of the design is solely based on the geometrical structure of the data.…”

Section: Applications B: Irradiance Monitoring Network Design (Applicmentioning

confidence: 99%

Analyzing big time series data in solar engineering using features and PCA

et al. 2017

Self Cite

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In solar engineering, we encounter big time series data such as the satellite-derived irradiance data and string-level measurements from a utility-scale photovoltaic (PV) system. While storing and hosting big data are certainly possible using today's data storage technology, it is challenging to effectively and efficiently visualize and analyze the data. We consider a data analytics algorithm to mitigate some of these challenges in this work. The algorithm computes a set of generic and/or application-specific features to characterize the time series, and subsequently uses principal component analysis to project these features onto a two-dimensional space. As each time series can be represented by features, it can be treated as a single data point in the feature space, allowing many operations to become more amenable. Three applications are discussed within the overall framework, namely (1) the PV system type identification, (2) monitoring network design, and (3) anomalous string detection. The proposed framework can be easily translated to many other solar engineer applications.

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Wind as a Promising Alternative Energy Source in Ethiopia: Feasibility Analysis for Wind Farm Establishment and Investigation of Wind Energy Potential in the Upper Blue Nile River Basin

Alemu,

Tegegne

2024

Springer Geography

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Solar irradiance monitoring network design using the variance quadtree algorithm

Cited by 22 publications

References 20 publications

Solar irradiance resource and forecasting: a comprehensive review

Solar irradiance resource and forecasting: a comprehensive review

Analyzing big time series data in solar engineering using features and PCA

Wind as a Promising Alternative Energy Source in Ethiopia: Feasibility Analysis for Wind Farm Establishment and Investigation of Wind Energy Potential in the Upper Blue Nile River Basin

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