Aggregating prophet and seasonal trend decomposition for time series forecasting of Italian electricity spot prices

SF Stefenon, LO Seman, VC Mariani, LS Coelho - Energies, 2023 - mdpi.com
The cost of electricity and gas has a direct influence on the everyday routines of people who
rely on these resources to keep their businesses running. However, the value of electricity is …

[HTML][HTML] Risk management of energy communities with hydrogen production and storage technologies

W Feng, C Ruiz - Applied Energy, 2023 - Elsevier
The distributed integration of renewable energy sources plays a central role in the
decarbonization of economies. In this regard, energy communities arise as a promising …

Heterogeneous differential-private federated learning: Trading privacy for utility truthfully

X Lin, J Wu, J Li, C Sang, S Hu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Differential-private federated learning (DP-FL) has emerged to prevent privacy leakage
when disclosing encoded sensitive information in model parameters. However, the existing …

Multi-stage bargaining of smart grid energy trading based on cooperative game theory

NN Devi, S Thokchom, TD Singh, G Panda… - Energies, 2023 - mdpi.com
Due to global warming and climate change, it is essential to produce power using
renewable sources, such as solar, wind, fuel cells, etc. The traditional grid shifts towards the …

A novel community‐based local electricity market for multiple communities with joint energy trading considering the risk of participation

M Moradi, M Parsa Moghaddam… - IET Generation …, 2023 - Wiley Online Library
Growing penetration of distributed energy resources (DER) leads to emerging changes and
issues in future power systems. A system oprator aims to maximise demnad side energy …

A new reinforcement learning approach for improving energy trading management for smart microgrids in the internet of things

Q Lu, H Li, J Zheng, J Qin, Y Yang… - International Journal …, 2023 - inderscienceonline.com
To face the challenge of climate changes, it is necessary to change the usage of natural
energy resources like oil, natural gas and coal to the use of renewable resources like the …

Optimized operation framework of distributed thermal storage aggregators in the electricity spot market

H Wang, X Cai, Z Yang, G Li, Y Zhou… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
For distributed solid electricity thermal storage aggregators (DSETSA), the uncertainty of the
marginal clearing price may lead to the problem of multibidding scenarios (including …

Local Markets in the Energy Sector Based on Distributed Ledger Technologies

GC Okwuibe - 2023 - mediatum.ub.tum.de
Local energy markets (LEMs) provide opportunities for consumers, prosumers and
producers to exchange their electricity within their local community. This dissertation …

Federated Learning Based Privacy-Preserving Renewable Energy Consumption for the Local Community

R Wei, Y Wang, X Wang, N An… - 2023 5th International …, 2023 - ieeexplore.ieee.org
With the growing demand for sustainable energy, there is an increasing need for efficient
management and distribution of renewable energy resources. However, collecting and …