Future smart grids creation and dimensionality reduction with signal handling on smart grid using targeted projection

Althobaiti, 2021, Energy theft in smart grids: a survey on data-driven attack strategies and detection methods, IEEE Access, 9, 159291, 10.1109/ACCESS.2021.3131220 Fan, 2021, Restoration of smart grids: current status, challenges, and opportunities, Renew. Sustain. Energy Rev., 143, 10.1016/j.rser.2021.110909 Ahmadzadeh, 2021, A review on communication aspects of demand response management for future 5G IoT-based smart grids, IEEE Access, 10.1109/ACCESS.2021.3082430 Zhang, 2021, Smart grid cyber-physical attack and defense: a review, IEEE Access, 9, 29641, 10.1109/ACCESS.2021.3058628 Yang, 2021, Deep learning for online AC false data injection attack detection in smart grids: an approach using LSTM-autoencoder, J. Netw. Comput. Appl., 193, 10.1016/j.jnca.2021.103178 Li, 2021, Integrating future smart home operation platform with demand side management via deep reinforcement learning, IEEE Trans. Green. Commun. Netw., 5, 921, 10.1109/TGCN.2021.3073979 Garcia-Torres, 2021, Model predictive control for microgrid functionalities: review and future challenges, Energies, 14, 1296, 10.3390/en14051296 Kalair, 2021, Duck curve leveling in renewable energy integrated grids using internet of relays, J. Clean. Prod., 294, 10.1016/j.jclepro.2021.126294 Aslam, S., Ayub, N., Farooq, U., Alvi, M.J., Albogamy, F.R., Rukh, G.,. & Bukhsh, R. (2021). Towards Electric Price and Load Forecasting Using CNN-Based Ensembler in Smart Grid. Sustainability, 13(22), 12653. Smale, R. (2021). Smart grids the human scale: Investigating householder participation in the decentralization, digitalization and decarbonization of energy grids in the Netherlands (Doctoral dissertation, Wageningen University). Farajzadeh-Zanjani, 2021, Adversarial semi-supervised learning for diagnosing faults and attacks in power grids, IEEE Trans. Smart Grid, 12, 3468, 10.1109/TSG.2021.3061395 Calver, 2021, Demand response and energy justice: a critical overview of ethical risks and opportunities within digital, decentralised, and decarbonised futures, Energy Policy, 151, 10.1016/j.enpol.2021.112198 Ahmad, 2021, Using the internet of things in smart energy systems and networks, Sustain. Cities Soc., 68, 10.1016/j.scs.2021.102783 Farzaneh, 2021, Artificial intelligence evolution in smart buildings for energy efficiency, Appl. Sci., 11, 763, 10.3390/app11020763 Reda, 2021, A taxonomy of cyber defence strategies against false data attacks in smart grid, arXiv Prepr. arXiv, 2103, 16085 Khalil, 2021, Deep learning in the industrial internet of things: potentials, challenges, and emerging applications, IEEE Internet of Things Journal, 8, 11016, 10.1109/JIOT.2021.3051414 Chopra, 2021, Wavelet-extreme learning i-machine for New Zealand smart meter data, 1 Toquica, 2021, Prevision and planning for residential agents in a transactive energy environment, Smart Energy, 2, 10.1016/j.segy.2021.100019 Musleh, A.S., Chen, G., Dong, Z.Y., Wang, C., & Chen, S. (2021). Online Characterization and Detection of False Data Injection Attacks in Wide-Area Monitoring Systems. IEEE Transactions on Power Systems. Mughees, 2021, Deep sequence to sequence Bi-LSTM neural networks for day-ahead peak load forecasting, Expert Syst. Appl., 175, 10.1016/j.eswa.2021.114844 S. Anand, Layered approach – a simplified mechanism for securing power grid systems, 2020 Second International Conference on Inventive Research in Computing Applications (ICIRCA), Coimbatore, India, 2020, pp. 969–974, doi: 10.1109/ICIRCA48905.2020.9182889. R.K. Tripathi and A.Singh Jalal, Make-up invariant face recognition under uncontrolled environment, 2021 3rd International Conference on Signal Processing and Communication (ICPSC), Coimbatore, India, 2021, pp. 459–463, doi: 10.1109/ICSPC51351.2021.9451704. A. Yadav, S. Saraswat and N. Faujdar, Geological information extraction from satellite imagery using machine learning, 2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), Noida, India, 2022, pp. 1–5, doi: 10.1109/ICRITO56286.2022.9964623. S. Sachan, Multi objective location of EVCS by CSO driven Heuristics, 2023 International Conference on Power Electronics and Energy (ICPEE), Bhubaneswar, India, 2023, pp. 1–4, doi: 10.1109/ICPEE54198.2023.10060388.