Browsing by Author "Wu, Yanpeng"

Now showing 1 - 2 of 2

Citation - WoS: 21
Citation - Scopus: 32
Deep Learning-Based Probabilistic Autoencoder for Residential Energy Disaggregation: an Adversarial Approach
(Ieee-Inst Electrical Electronics Engineers Inc, 2022) Çimen, Halil; Wu, Ying; Wu, Yanpeng; Terriche, Yacine; Vasquez, Juan C.; Guerrero, Josep M.
Energy disaggregation is the process of disaggregating a household's total energy consumption into its appliance-level components. One of the limitations of energy disaggregation is its generalization capacity, which can be defined as the ability of the model to analyze new households. In this article, a new energy disaggregation approach based on adversarial autoencoder (AAE) is proposed to create a generative model and enhance the generalization capacity. The proposed method has a probabilistic structure to handle uncertainties in the unseen data. By transforming the latent space from a deterministic structure to a Gaussian prior distribution, AAEs decoder transforms into a generative model. The proposed approach is validated through experimental tests using two different datasets. The experimental results exhibit a 55% MAE performance increase compared to deterministic models and 7% compared to probabilistic models. In addition, considering the predictions made when the appliances are on, the AAE improves the performance by 16% for UKDALE and 36% for REDD dataset compared to the state-of-art models. Moreover, the online analysis performance of AAE is examined in detail, and the disadvantages of instant predictions and the possible solutions are extensively discussed.
Citation - WoS: 119
Citation - Scopus: 167
Towards Collective Energy Community: Potential Roles of Microgrid and Blockchain To Go Beyond P2p Energy Trading
(Elsevier Ltd, 2022) Wu, Ying; Wu, Yanpeng; Çimen, Hilal; Vasquez, Juan C.; Guerrero, Josep M.
Decarbonisation of energy sector is crucial to deliver the future net zero energy system with promoting and facilitating the large-scale electrification of end-user sectors. It is necessary to provide sustainable, cost-effective, resilient and scalable energy solutions to exploit the power of citizens to contribute to the clean energy transition, increasing the flexibility of the overall energy system. Energy community, as the new actor, create an integrated pan energy market by bringing together the local consumers and energy market players. However, diversity of energy community brings huge challenges in integration of decentralized renewables with regulated framework, interaction of decentralized marketplaces, as well as interoperability of the cross-border energy sectors with privacy, security and incentives. This paper intends to provide an in-depth investigation on the role of microgrid and blockchain, alone and together, in facilitating the energy community as the “enabling framework” to boost the potential solutions of electrification in the transportation, building, and industrial sectors, as well as rural/remote areas and islands towards a networking green ecosystem. This paper serves as a comprehensive reference to understand the modern microgrid on its control and communication technology with integration of blockchain services in promoting the techno-socio-economic innovations for the restructuring of the sustainable energy supply chain. © 2022 The Author(s)