Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
[HTML][HTML] Smart home energy management systems: Research challenges and survey
Electricity is establishing ground as a means of energy, and its proportion will continue to
rise in the next generations. Home energy usage is expected to increase by more than 40 …
rise in the next generations. Home energy usage is expected to increase by more than 40 …
Lithium-ion battery storage for the grid—A review of stationary battery storage system design tailored for applications in modern power grids
Battery energy storage systems have gained increasing interest for serving grid support in
various application tasks. In particular, systems based on lithium-ion batteries have evolved …
various application tasks. In particular, systems based on lithium-ion batteries have evolved …
Designing decentralized markets for distribution system flexibility
This paper introduces a decentralized market design, which allows a distribution system
operator to manage local demand constraints by obtaining flexibility from competing …
operator to manage local demand constraints by obtaining flexibility from competing …
A comparative analysis of machine learning approaches for short-/long-term electricity load forecasting in Cyprus
D Solyali - Sustainability, 2020 - mdpi.com
Estimating the electricity load is a crucial task in the planning of power generation systems
and the efficient operation and sustainable growth of modern electricity supply networks …
and the efficient operation and sustainable growth of modern electricity supply networks …
[HTML][HTML] Energy forecasting for event venues: Big data and prediction accuracy
Advances in sensor technologies and the proliferation of smart meters have resulted in an
explosion of energy-related data sets. These Big Data have created opportunities for …
explosion of energy-related data sets. These Big Data have created opportunities for …
Short and medium-term forecasting of cooling and heating load demand in building environment with data-mining based approaches
T Ahmad, H Chen - Energy and Buildings, 2018 - Elsevier
This paper depicted the novel data mining based methods that consist of six models for
predicting accurate future heating and cooling load demand of water source heat pump, with …
predicting accurate future heating and cooling load demand of water source heat pump, with …
Robust ensemble learning framework for day-ahead forecasting of household based energy consumption
Smart energy management mandates a more decentralized energy infrastructure, entailing
energy consumption information on a local level. Household-based energy consumption …
energy consumption information on a local level. Household-based energy consumption …
[HTML][HTML] Modeling energy demand—a systematic literature review
PA Verwiebe, S Seim, S Burges, L Schulz… - Energies, 2021 - mdpi.com
In this article, a systematic literature review of 419 articles on energy demand modeling,
published between 2015 and 2020, is presented. This provides researchers with an …
published between 2015 and 2020, is presented. This provides researchers with an …
[HTML][HTML] A comparison of models for forecasting the residential natural gas demand of an urban area
P Potočnik, J Šilc, G Papa - Energy, 2019 - Elsevier
Forecasting the residential natural gas demand for large groups of buildings is extremely
important for efficient logistics in the energy sector. In this paper different forecast models for …
important for efficient logistics in the energy sector. In this paper different forecast models for …
User satisfaction-induced demand side load management in residential buildings with user budget constraint
This paper presents a demand side load management technique that is capable of
controlling loads within the residential building in such a way that the user satisfaction is …
controlling loads within the residential building in such a way that the user satisfaction is …