Fundamentals and business model for resource aggregator of demand response in electricity markets
Demand response (DR) is an effective means to help maintain the balance between power
supply and demand, promote energy conservation and emission reduction. Nevertheless …
supply and demand, promote energy conservation and emission reduction. Nevertheless …
Cybersecurity threats in FinTech: A systematic review
The rapid evolution of the Smart-everything movement and Artificial Intelligence (AI)
advancements have given rise to sophisticated cyber threats that traditional methods cannot …
advancements have given rise to sophisticated cyber threats that traditional methods cannot …
[HTML][HTML] Smart grids and renewable energy systems: Perspectives and grid integration challenges
M Khalid - Energy Strategy Reviews, 2024 - Elsevier
The concept of smart grid (SG) was made real to give the power grid the functions and
features it needs to make a smooth transition towards renewable energy integration and …
features it needs to make a smooth transition towards renewable energy integration and …
Deep learning based surface irradiance mapping model for solar PV power forecasting using sky image
Z Zhen, J Liu, Z Zhang, F Wang, H Chai… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
With the increase of solar photovoltaic (PV) penetration in power system, the impact of
random fluctuation of PV power on the secure operation of power grid becomes more and …
random fluctuation of PV power on the secure operation of power grid becomes more and …
Day-ahead optimal bidding and scheduling strategies for DER aggregator considering responsive uncertainty under real-time pricing
This paper addresses the optimal decision problem of a distributed energy resources (DER)
aggregator who manages wind turbines, solar PV systems and battery energy storage (BES) …
aggregator who manages wind turbines, solar PV systems and battery energy storage (BES) …
Intrusion detection in SCADA based power grids: Recursive feature elimination model with majority vote ensemble algorithm
D Upadhyay, J Manero, M Zaman… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
We propose an integrated framework for an intrusion detection system for SCADA
(Supervisory Control and Data Acquisition)-based power grids. Our scheme combines RFE …
(Supervisory Control and Data Acquisition)-based power grids. Our scheme combines RFE …
[HTML][HTML] Prosumer in smart grids based on intelligent edge computing: A review on Artificial Intelligence Scheduling Techniques
SB Slama - Ain Shams Engineering Journal, 2022 - Elsevier
Smart Grid technology has been considered an attractive research issue due to its efficiency
in solving energy demand, storage, and power transmission. The integration of IoT …
in solving energy demand, storage, and power transmission. The integration of IoT …
Optimal bidding strategy of demand response aggregator based on customers' responsiveness behaviors modeling under different incentives
Residential customers account for an indispensable part in the demand response (DR)
program for their capability to provide flexibility when the system required. However, their …
program for their capability to provide flexibility when the system required. However, their …
Intra-hour photovoltaic generation forecasting based on multi-source data and deep learning methods
Global issues pertaining to climate change have necessitated the rapid deployment of new
energy sources, such as photovoltaic (PV) generation. In smart grids, accurate forecasting is …
energy sources, such as photovoltaic (PV) generation. In smart grids, accurate forecasting is …
Energy internet opportunities in distributed peer-to-peer energy trading reveal by blockchain for future smart grid 2.0
B Zafar, S Ben Slama - Sensors, 2022 - mdpi.com
The Energy Internet (EI) and Smart Grid 2.0 (SG 2.0) concepts are potential challenges in
industry and research. The purpose of SG 2.0 and EI is to automate innovative power grid …
industry and research. The purpose of SG 2.0 and EI is to automate innovative power grid …