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   Articles with "electrical load" as a keyword



Sizing domestic air-source heat pump systems with thermal storage under varying electrical load shifting strategies

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recommendations! Published in 2019 at "Applied Energy"

DOI: 10.1016/j.apenergy.2019.113811

Abstract: Abstract The demand for local heat storage to help manage energy demand in dwellings is likely to increase as the electrification of heat through heat pumps becomes more widespread. Sizing thermal energy storage systems has… read more here.

Keywords: storage; load shifting; energy storage; heat ... See more keywords

An electrical load measurements dataset of United Kingdom households from a two-year longitudinal study

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recommendations! Published in 2017 at "Scientific Data"

DOI: 10.1038/sdata.2016.122

Abstract: Smart meter roll-outs provide easy access to granular meter measurements, enabling advanced energy services, ranging from demand response measures, tailored energy feedback and smart home/building automation. To design such services, train and validate models, access… read more here.

Keywords: electrical load; load measurements; measurements dataset; united kingdom ... See more keywords
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Residential Electrical Load Monitoring and Modeling – State of the Art and Future Trends for Smart Homes and Grids

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recommendations! Published in 2020 at "Electric Power Components and Systems"

DOI: 10.1080/15325008.2020.1834019

Abstract: Abstract Building energy consumption accounts for a large fraction of the total global energy usage, and considerable energy savings are expected to be achieved in this respect through residential electrical load monitoring. Due to the… read more here.

Keywords: load monitoring; residential electrical; monitoring; electrical load ... See more keywords
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Identification Method of Electrical Load for Electrical Appliances Based on K-Means ++ and GCN

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recommendations! Published in 2021 at "IEEE Access"

DOI: 10.1109/access.2021.3057722

Abstract: Most cluster identification studies regarding consumer electricity load is faced with problems of erroneous clustering method similarity, low clustering quality and poor identification accuracy. To solve these problems, this paper utilizes the elbow method, k-… read more here.

Keywords: gcn identification; identification method; load; identification ... See more keywords

Value-Oriented Data-Driven Approach for Electrical Load Forecasting Apt to Facilitate Vehicle-to-Grid Scheduling

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recommendations! Published in 2025 at "IEEE Transactions on Industrial Informatics"

DOI: 10.1109/tii.2025.3552704

Abstract: The purpose of this article is to propose a value-oriented electrical load forecasting (ELF) approach that aims to minimize load variance by leveraging vehicle-to-grid (V2G) technology. To achieve this, it is critical and urgent to… read more here.

Keywords: vehicle grid; value; electrical load; load forecasting ... See more keywords

Short-Term Electrical Load Forecasting With Multidimensional Feature Extraction

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recommendations! Published in 2022 at "IEEE Transactions on Smart Grid"

DOI: 10.1109/tsg.2022.3158387

Abstract: Accurate short-term load forecasting (STLF) is required for reliable power system operations. Nevertheless, load forecasting remains a challenge owing to the high dimensionality and volatility of electrical load data as time series. In this study,… read more here.

Keywords: load forecasting; feature extraction; electrical load; load ... See more keywords

Interpretable Short-Term Electrical Load Forecasting Scheme Using Cubist

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recommendations! Published in 2022 at "Computational Intelligence and Neuroscience"

DOI: 10.1155/2022/6892995

Abstract: Daily peak load forecasting (DPLF) and total daily load forecasting (TDLF) are essential for optimal power system operation from one day to one week later. This study develops a Cubist-based incremental learning model to perform… read more here.

Keywords: interpretable short; load forecasting; electrical load; model ... See more keywords

Study on the acoustic emission characteristics and damage mechanism of power batteries under electrical load

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recommendations! Published in 2025 at "PLOS One"

DOI: 10.1371/journal.pone.0333277

Abstract: With the rapid development of new energy vehicles and renewable energy storage systems, the safety and reliability of lithium-ion batteries have garnered significant attention. Therefore, it is crucial to study the aging and damage mechanisms… read more here.

Keywords: electrical load; charging discharging; damage; acoustic emission ... See more keywords

Electrical Load Prediction Using Interval Type-2 Atanassov Intuitionist Fuzzy System: Gravitational Search Algorithm Tuning Approach

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recommendations! Published in 2021 at "Energies"

DOI: 10.3390/en14123591

Abstract: Establishing accurate electrical load prediction is vital for pricing and power system management. However, the unpredictable behavior of private and industrial users results in uncertainty in these power systems. Furthermore, the utilization of renewable energy… read more here.

Keywords: system; load prediction; approach; prediction ... See more keywords

Development of a Short-Term Electrical Load Forecasting in Disaggregated Levels Using a Hybrid Modified Fuzzy-ARTMAP Strategy

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recommendations! Published in 2023 at "Energies"

DOI: 10.3390/en16104110

Abstract: In recent years, electrical systems have evolved, creating uncertainties in short-term economic dispatch programming due to demand fluctuations from self-generating companies. This paper proposes a flexible Machine Learning (ML) approach to address electrical load forecasting… read more here.

Keywords: methodology; fuzzy artmap; load forecasting; electrical load ... See more keywords

Short-Term Electrical Load Forecasting Based on IDBO-PTCN-GRU Model

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recommendations! Published in 2024 at "Energies"

DOI: 10.3390/en17184667

Abstract: Accurate electrical load forecasting is crucial for the stable operation of power systems. However, existing forecasting models face limitations when handling multidimensional features and feature interactions. Additionally, traditional metaheuristic algorithms tend to become trapped in… read more here.

Keywords: load forecasting; ptcn gru; gru model; electrical load ... See more keywords