[HTML][HTML] Smart home energy management systems: Research challenges and survey

A Raza, L **gzhao, Y Ghadi, M Adnan, M Ali - Alexandria engineering …, 2024 - Elsevier
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 …

Lithium-ion battery storage for the grid—A review of stationary battery storage system design tailored for applications in modern power grids

HC Hesse, M Schimpe, D Kucevic, A Jossen - Energies, 2017 - mdpi.com
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 …

Designing decentralized markets for distribution system flexibility

T Morstyn, A Teytelboym… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
This paper introduces a decentralized market design, which allows a distribution system
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 …

[HTML][HTML] Energy forecasting for event venues: Big data and prediction accuracy

K Grolinger, A L'Heureux, MAM Capretz, L Seewald - Energy and buildings, 2016 - Elsevier
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 …

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 …

Robust ensemble learning framework for day-ahead forecasting of household based energy consumption

MH Alobaidi, F Chebana, MA Meguid - Applied energy, 2018 - Elsevier
Smart energy management mandates a more decentralized energy infrastructure, entailing
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 …

[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 …

User satisfaction-induced demand side load management in residential buildings with user budget constraint

ASO Ogunjuyigbe, TR Ayodele, OA Akinola - Applied Energy, 2017 - Elsevier
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 …