[HTML][HTML] Next-generation energy systems for sustainable smart cities: Roles of transfer learning

Y Himeur, M Elnour, F Fadli, N Meskin, I Petri… - Sustainable Cities and …, 2022 - Elsevier
Smart cities attempt to reach net-zero emissions goals by reducing wasted energy while
improving grid stability and meeting service demand. This is possible by adopting next …

Reviewing the peer-to-peer transactive energy market: Trading environment, optimization methodology, and relevant resources

Y Xia, Q Xu, S Li, R Tang, P Du - Journal of Cleaner Production, 2023 - Elsevier
With the high penetration of renewable energy resources on the demand side, peer-to-peer
(P2P) energy sharing has emerged as a promising method for consuming the surplus …

[HTML][HTML] Distributed energy resource participation in electricity markets: A review of approaches, modeling, and enabling information and communication technologies

J Stekli, L Bai, U Cali, U Halden, MF Dynge - Energy Strategy Reviews, 2022 - Elsevier
The continued development of distributed energy resources (DER), information and
communications technologies is enabling a greater number of parties to participate in …

[HTML][HTML] Investigating the impact of building local photovoltaic power plants on the national grid, an artificial intelligence approach

A Haghighatseresht, R MansouriBidekani… - Ain Shams Engineering …, 2023 - Elsevier
Today, simple electrical energy networks are becoming obsolete and are being replaced by
smart networks. One of the advantages of smart grids is to facilitate energy management, so …

Intelligent energy management: Evolving developments, current challenges, and research directions for sustainable future

M Ali, K Prakash, MA Hossain, HR Pota - Journal of Cleaner Production, 2021 - Elsevier
In the last decade, there have been significant developments in the field of intelligent energy
management systems (IEMSs), with various methods and new solutions proposed for …

Consumer-focused solar-grid net zero energy buildings: A multi-objective weighted sum optimization and application for India

D Madathil, MG Nair, T Jamasb, T Thakur - Sustainable Production and …, 2021 - Elsevier
Buildings account for nearly 40% of the world's energy consumption. Renewable energy
sources can help decarbonization by facilitating the achievement of Net Zero Energy …

Network analysis in a peer-to-peer energy trading model using blockchain and machine learning

S Shukla, S Hussain, RR Irshad, AA Alattab… - Computer Standards & …, 2024 - Elsevier
Existing technology like smart grid (SG) and smart meters play a significant role in meeting
the everlasting demand of energy consumption, supply, and generation for peer-to-peer …

How can the dynamic game be integrated into blockchain-based distributed energy resources multi-agent transactions for decision-making?

H Wang, T Feng, W Xiong - Energy, 2022 - Elsevier
Distributed energy resources not only change the energy supply modes but also have great
potential in energy transformation. There are some problems in distributed energy trading …

[HTML][HTML] Deterioration of electrical load forecasting models in a smart grid environment

A Azeem, I Ismail, SM Jameel, F Romlie, KU Danyaro… - Sensors, 2022 - mdpi.com
Smart Grid (SG) is a digitally enabled power grid with an automatic capability to control
electricity and information between utility and consumer. SG data streams are heterogenous …

A new cross-domain prediction model of air pollutant concentration based on secure federated learning and optimized LSTM neural network

G Huang, X Zhao, Q Lu - Environmental Science and Pollution Research, 2023 - Springer
As air pollution worsens, the fast prediction of air pollutant concentration becomes
increasingly important for public health. This paper proposes a new cross-domain prediction …