Multiple Criteria Decision Support for Heating Systems in Electric Transport

Beinarts, Ivars; Levchenkov, Anatoly

doi:10.1007/978-3-642-04045-0_3

Cited by 3 publications

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“…, size of which is controlled and data on its value E are passed to CSC, which provides an optimal control regime of energy consumption using multicriteria decision making (MCDM) methods [2].…”

Section: Hvac Systemmentioning

confidence: 99%

Control of Comfort Parameters in Interior of Railway Coach Using ANN and RFID Tasks

Beinarts

Levchenkov

2009

Scientific Journal of Riga Technical University. Power and Electrical Engineering

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Control of Comfort Parameters in Interior of Railway Coach Using ANN and RFID TasksThe main idea of this paper is to use methods of ANN (artificial neural network) and RFID (radio frequency identification) to create an algorithm and coordination mechanism for climate parameters control in the railway passengers' coach to save an electrical energy and keep a high comfort level in the passengers' interior of railway coach. The article presents mathematical problem using intelligent control of HVAC (heating, ventilation and air conditioning) systems for microclimate parameters optimal control. The methods of the problem solving and the structure of problem solving algorithm are given in the article.

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Section: Hvac Systemmentioning

confidence: 99%

Control of Comfort Parameters in Interior of Railway Coach Using ANN and RFID Tasks

Beinarts

Levchenkov

2009

Scientific Journal of Riga Technical University. Power and Electrical Engineering

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Fuzzy logic control method of HVAC equipment for optimization of passengers' thermal comfort in public electric transport vehicles

Beinarts

2013

Eurocon 2013

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The research goal is the development and investigation of the recommendations and practically applicable methods for an evaluation of the public transport passengers' thermal comfort and for an automatic application of this evaluation in adjusting the parameters of the passenger compartment's environment. In the research, for improving thermal comfort of the public electric transport's passengers, the methodology determining passenger's satisfaction with thermal comfort using the fuzzy logic controller, and the method of an automatic adjustment of thermal parameters' setpoint, carried out in passenger compartments and based on an evaluation of passenger satisfaction, are designed.

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Type-2 Fuzzy Logic Control of HVAC System in Electric Vehicles

Singh,

Kumar

2024

2024 International Conference on Electrical Electronics and Computing Technologies (ICEECT)

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Multiple Criteria Decision Support for Heating Systems in Electric Transport

Cited by 3 publications

References 1 publication

Control of Comfort Parameters in Interior of Railway Coach Using ANN and RFID Tasks

Control of Comfort Parameters in Interior of Railway Coach Using ANN and RFID Tasks

Fuzzy logic control method of HVAC equipment for optimization of passengers' thermal comfort in public electric transport vehicles

Type-2 Fuzzy Logic Control of HVAC System in Electric Vehicles

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