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Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
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INTELLIGENT CONTROL SYSTEM FOR A HYBRID ENERGY COMPLEX BASED ON FORECASTING OF OPERATING CONDITIONS

Authors: Abidova, G.Sh.;

INTELLIGENT CONTROL SYSTEM FOR A HYBRID ENERGY COMPLEX BASED ON FORECASTING OF OPERATING CONDITIONS

Abstract

The paper discusses the development of a control system for a hybrid energy complex that integrates renewable energy sources such as solar collectors, heat pumps, and wind generators. The advantages and disadvantages of centralized and distributed control systems are analyzed. Special attention is paid to the use of forecasting methods for weather conditions and consumer energy demand in order to improve the efficiency of the energy complex. A two-level control architecture is proposed, consisting of a supervisory server responsible for strategy generation and a programmable logic controller that directly controls the equipment. The proposed approach enables optimization of operating modes, improvement of energy efficiency, and adaptation of the hybrid complex to changing operating conditions and consumer requirements.

Keywords

Hybrid energy complex, renewable energy sources, automatic control system, energy forecasting, centralized control, programmable logic controller, energy efficiency, solar collectors, heat pump, wind generator.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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