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Secure smart contract-enabled control of battery energy storage systems against cyber-attacks
(
Elsevier B.V.
, 2019 , Article)
Battery Energy Storage Systems (BESSs) are an integral part of a sustainable and resilient smart grid. The security of such critical cyber-physical infrastructure is considered as a major priority for both industry and ...
Random vector functional link neural network based ensemble deep learning for short-term load forecasting
(
Elsevier Ltd
, 2022 , Article)
Electric load forecasting is essential for the planning and maintenance of power systems. However, its un-stationary and non-linear properties impose significant difficulties in predicting future demand. This paper proposes ...
Experimental evaluation of stochastic configuration networks: Is SC algorithm inferior to hyper-parameter optimization method?
(
Elsevier Ltd
, 2022 , Article)
To overcome the pitfalls of Random Vector Functional Link (RVFL), a network called Stochastic Configuration Networks (SCN) has been proposed. By constraining and adaptively selecting the range of randomized parameters using ...
Dynamic ensemble deep echo state network for significant wave height forecasting
(
Elsevier Ltd
, 2023 , Article)
Forecasts of the wave heights can assist in the data-driven control of wave energy systems. However, the dynamic properties and extreme fluctuations of the historical observations pose challenges to the construction of ...
Sample-Based Data Augmentation Based on Electroencephalogram Intrinsic Characteristics
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
Deep learning for electroencephalogram-based classification is confronted with data scarcity, due to the time-consuming and expensive data collection procedure. Data augmentation has been shown as an effective way to improve ...
PriviPK: Certificate-less and secure email communication
(
Elsevier Ltd
, 2017 , Article)
We introduce PriviPK, an infrastructure that is based on a novel combination of certificateless (CL) cryptography and key transparency techniques to enable e2e email encryption. Our design avoids (1) key escrow and deployment ...
Weighting and pruning based ensemble deep random vector functional link network for tabular data classification
(
Elsevier Ltd
, 2022 , Article)
In this paper, we first integrate normalization to the Ensemble Deep Random Vector Functional Link network (edRVFL). This re-normalization step can help the network avoid divergence of the hidden features. Then, we propose ...
Ensemble of Metaheuristic and Exact Algorithm Based on the Divide-And-Conquer Framework for Multisatellite Observation Scheduling
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
Satellite observation scheduling plays a significant role in improving the efficiency of Earth observation systems. To solve the large-scale multisatellite observation scheduling problem, this article proposes an ensemble ...
A decomposition-based hybrid ensemble CNN framework for driver fatigue recognition
(
Elsevier Inc.
, 2023 , Article)
Electroencephalogram (EEG) has become increasingly popular in driver fatigue monitoring systems. Several decomposition methods have been attempted to analyze the EEG signals that are complex, nonlinear and non-stationary ...
The simultaneous impact of EV charging and PV inverter reactive power on the hosting distribution system's performance: A case study in kuwait
(
MDPI AG
, 2020 , Article)
Recently, electric vehicles (EVs) have become an increasingly important topic in the field of sustainable transportation research, alongside distributed generation, reactive power compensation, charging optimization, and ...