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2. Battery Sizing for Different Loads and RES Production Scenarios through Unsupervised Clustering Methods. (2021). Pretto, Silvia ; de Ciechi, Luca ; Ogliari, Emanuele ; Matteri, Andrea ; Nespoli, Alfredo.
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3. Influence of Efficiency, Aging and Charging Strategy on the Economic Viability and Dimensioning of Photovoltaic Home Storage Systems. (2021). Munzke, Nina ; Hiller, Marc ; Buchle, Felix ; Smith, Anna.
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4. Household Electricity Generation as a Way of Energy Independence of States—Social Context of Energy Management. (2021). Bayramov, Shahin ; Kondrashev, Sergey ; Kowalik, Jan ; Prokazov, Iurii.
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5. Potential of implementation of residential photovoltaics at city level: The case of London. (2021). Olivella, Jordi ; Calleja, Gema ; Domenech, Bruno.
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6. Advanced Gas Turbine Control Logic Using Black Box Models for Enhancing Operational Flexibility and Stability. (2020). Kim, Tong Seop ; Moon, Seong Won.
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2. Electricity Data Quality Enhancement Strategy Based on Low-Rank Matrix Recovery. (2025). Xu, Jianjun ; Zhang, Lei ; Teng, Xinliang.
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3. Explainable multi-fidelity Bayesian neural network for distribution system state estimation. (2025). Rouhani, Alireza ; Cheng, Gang ; Zhao, Junbo ; Zhang, Jinxian.
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4. Data Imputation in Electricity Consumption Profiles through Shape Modeling with Autoencoders. (2024). Rosero-Garcia, Javier ; Duarte, Javier E.
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5. Smart meter data analytics applications for secure, reliable and robust grid system: Survey and future directions. (2024). Mitra, Somalee ; Chakraborty, Basab.
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6. Optimal techno-economic energy coordination of solar PV water pumping irrigation systems. (2024). Abdel-Salam, Mazen ; Abo-Elyousr, Farag K ; Elnozahy, Ahmed.
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7. The Study of Historical Progression in the Distribution of Urban Commercial Space Locations—Example of Paris. (2023). Fan, Zouyang ; Song, Jusheng ; Zhang, Jingyuan.
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8. Clustering Electrical Customers with Source Power and Aggregation Constraints: A Reliability-Based Approach in Power Distribution Systems. (2023). Garcia, Vinicius Jacques ; de Oliveira, Thiago Eliandro ; Ferrarezi, Rui Anderson ; Neto, Nelson Knak ; Callai, Laura Lisiane ; Borniatti, Andre Ross.
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9. Load Forecasting Models in Smart Grid Using Smart Meter Information: A Review. (2023). Biswal, Monalisa ; Dewangan, Fanidhar ; Abdelaziz, Almoataz Y.
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10. A review on distribution system state estimation uncertainty issues using deep learning approaches. (2023). Raghuvamsi, Y ; Teeparthi, Kiran.
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11. Clustering based analysis of residential duck curve mitigation through solar pre-cooling: A case study of Australian housing stock. (2023). Naderi, Shayan ; Watts, Scott ; MacGill, Iain ; Pignatta, Gloria ; Chen, Dong ; Sproul, Alistair ; Heslop, Simon.
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12. Fast self-heating battery with anti-aging awareness for freezing climates application. (2022). Li, Zhengyang ; Shen, Weixiang ; Ma, Suxiao ; Xiong, Rui ; Yang, Ruixin ; Sun, Fengchun.
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13. LOSISH—LOad Scheduling In Smart Homes based on demand response: Application to smart grids. (2022). Esseghir, Moez ; Merghem-Boulahia, Leila ; Chreim, Bashar.
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14. Demand charges and user flexibility – Exploring differences in electricity consumer types and load patterns within the Swedish commercial sector. (2021). van Zoest, Vera ; el Gohary, Fouad ; Bartusch, Cajsa.
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15. Decision-making oriented clustering: Application to pricing and power consumption scheduling. (2021). Poor, Vincent H ; Lasaulce, Samson ; Panciatici, Patrick ; Hennebel, Martin ; Saludjian, Lucas ; Zhang, Chao.
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16. Deep reinforcement learning framework for dynamic pricing demand response of regenerative electric heating. (2021). Li, Wenjia ; Deng, Shuai ; Zhong, Shengyuan ; Zhao, Jun ; Zhu, Jiebei ; Wang, Yongzhen.
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17. Machine Learning on residential electricity consumption: Which households are more responsive to weather?. (2021). Reiner, David ; Kang, Jia-Ning.
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18. Self-Learning Data-Based Models as Basis of a Universally Applicable Energy Management System. (2020). Bergmann, Wiebke ; Weber, Markus ; Lachmann, Malin ; Maldonado, Jaime ; Jung, Francesca ; Buskens, Christof.
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19. How Does the Electricity Demand Profile Impact the Attractiveness of PV-Coupled Battery Systems Combining Applications?. (2020). Yilmaz, Selin ; Patel, Martin K ; Gonzalez, Marta C ; Barbour, Edward ; Parra, David ; Pena-Bello, Alejandro.
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20. Efficient clustering for aggregate loads: An unsupervised pretraining based method. (2020). Ruhang, XU.
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21. Multi-stage contingency-constrained co-planning for electricity-gas systems interconnected with gas-fired units and power-to-gas plants using iterative Benders decomposition. (2019). Li, Zhigang ; Zhou, X X ; Wu, Q H ; Zheng, J H.
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22. An Adaptive Weighted Pearson Similarity Measurement Method for Load Curve Clustering. (2018). Su, Yun ; Lin, Rongheng ; Wu, Budan.
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23. Do Customers Choose Proper Tariff? Empirical Analysis Based on Polish Data Using Unsupervised Techniques. (2018). Zbkowski, Tomasz ; Nafkha, Rafik ; Gajowniczek, Krzysztof.
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24. A Multidisciplinary Approach for the Development of Smart Distribution Networks. (2018). Pilloni, Virginia ; Pegoraro, Paolo Attilio ; Simone, Marco ; Armano, Giuliano ; Sias, Giuliana ; Marcialis, Gianluca ; Ghiani, Emilio ; Serpi, Alessandro.
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25. A maximum entropy approach to the estimation of spatially and sectorally disaggregated electricity load curves. (2018). Schroder, Thomas ; Tobben, Johannes.
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26. Film-type rain energy converters from conductive polymer/PtCo hybrids. (2018). Zhao, Yuanyuan ; Wang, Yingli ; Tang, Qunwei ; Duan, Jialong ; Yuan, Haiwen ; He, Benlin.
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27. Topological properties of medium voltage electricity distribution networks. (2018). Xu, Tao ; Abeysinghe, Sathsara ; Abeysekera, Muditha ; Sooriyabandara, Mahesh ; Wu, Jianzhong ; Wang, Chengshan.
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