Neural System for Power Load Prediction in a Week Time Horizon

Bielecki, Andrzej; Lenart, Marcin

doi:10.1007/978-3-319-39378-0_3

Cited by 5 publications

(2 citation statements)

References 17 publications

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“…By its nature, renewable generation is not reliable in terms of energy stability. Thus, prediction and planning plays [43][44][45][46][47][48]. To compensate, an energy storage solution needs to be employed.…”

Section: Economic Optimisation By Using Molten Salt Powermentioning

confidence: 99%

Concentrated Solar Power Plants with Molten Salt Storage: Economic Aspects and Perspectives in the European Union

Bielecki

Ernst

Skrodzka

et al. 2019

International Journal of Photoenergy

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Concentrated solar power plants belong to the category of clean sources of renewable energy. The paper discusses the possibilities for the use of molten salts as storage in modern CSP plants. Besides increasing efficiency, it may also shift their area of application: thanks to increased controllability, they may now be used not only to cover baseload but also as more agile, dispatchable generators. Both technological and economic aspects are presented, with focus on the European energy sector and EU legislation. General characteristics for CSP plants, especially with molten salt storage, are discussed. Perspectives for their development, first of all in economic aspects, are considered.

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Section: Economic Optimisation By Using Molten Salt Powermentioning

confidence: 99%

Concentrated Solar Power Plants with Molten Salt Storage: Economic Aspects and Perspectives in the European Union

Bielecki

Ernst

Skrodzka

et al. 2019

International Journal of Photoenergy

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“…The concept of Smart Cities is based on the idea of applying technological solutions, mainly IT-based, to areas such as transport, energy, healthcare, water and waste management, with a projected market of $400 billion by 2020 [4], [5], [6], [7], [8]. It is closely related to the vision of Internet of things (IoT) [9], which involves various systems communicating in a semantic and secure manner to allow interchange of information between devices and systems.…”

Section: Motivationmentioning

confidence: 99%

Prediction of Traffic Intensity for Dynamic Street Lighting

Bielecka

Bielecki

Ernst

et al. 2017

Proceedings of the 2017 Federated Conference on Computer Science and Information Systems

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Abstract-In this paper, the problem of short-term prediction of traffic flow in a city traffic network is considered. This prediction is performed in order to provide input data to a dynamic control system for street lighting. The forecasting is done by a multi-layer using artificial neural network. Because of the limited number of sensors, the data is insufficient to describe the relation between the traffic intensity at a given point and the points in which the flow intensity is measured. The proposed approach is tested by using data from the centre of Kraków. The prediction error turned to be low.

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