| Optimal expansion planning considering storage investment and seasonal effect of demand and renewable generation B Canizes, J Soares, F Lezama, C Silva, Z Vale, JM Corchado Renewable Energy 138, 937-954, 2019 | 67 | 2019 |
| Demand response performance and uncertainty: A systematic literature review C Silva, P Faria, Z Vale, JM Corchado Energy Strategy Reviews 41, 100857, 2022 | 51 | 2022 |
| Multi-Period Observation Clustering for Tariff Definition in a Weekly Basis Remuneration of Demand Response C Silva, P Faria, Z Vale Energies 12 (7), 1248, 2019 | 24 | 2019 |
| Rating the Participation in Demand Response Programs for a More Accurate Aggregated Schedule of Consumers after Enrolment Period C Silva, P Faria, Z Vale Electronics 9 (2), 349, 2020 | 20 | 2020 |
| Demand Response and Distributed Generation Remuneration Approach Considering Planning and Operation Stages C Silva, P Faria, Z Vale Energies 12 (14), 2721, 2019 | 17 | 2019 |
| Discussing Different Clustering Methods for the Aggregation of Demand Response and Distributed Generation C Silva, P Faria, Z Vale 2018 IEEE Symposium Series on Computational Intelligence (SSCI), 1645-1650, 2018 | 16 | 2018 |
| Clustering distributed Energy Storage units for the aggregation of optimized local solar energy C Silva, P Faria, A Fernandes, Z Vale Energy Reports 8, 405-410, 2022 | 15 | 2022 |
| Clustering direct load control appliances in the context of demand response programs in energy communities R Barreto, P Faria, C Silva, Z Vale IFAC-PapersOnLine 53 (2), 12608-12613, 2020 | 13 | 2020 |
| Rating consumers participation in demand response programs according to previous events C Silva, P Faria, Z Vale Energy Reports 6, 195-200, 2020 | 10 | 2020 |
| Assessment of Distributed Generation Units Remuneration Using Different Clustering Methods for Aggregation C Silva, P Faria, Z Vale 2018 IEEE International Conference on Communications, Control, and Computing …, 2018 | 10 | 2018 |
| Rating the participation in Demand Response events with a contextual approach to improve accuracy of aggregated schedule C Silva, P Faria, Z Vale, JM Terras, S Albuquerque Energy Reports 8, 8282-8300, 2022 | 9 | 2022 |
| Demand Response Contextual Remuneration of Prosumers with Distributed Storage C Silva, P Faria, B Ribeiro, L Gomes, Z Vale Sensors 22 (22), 8877, 2022 | 8 | 2022 |
| Study of multi-tariff influence on the distributed generation remuneration C Silva, P Faria, Z Vale Distributed Computing and Artificial Intelligence, 16th International …, 2020 | 8 | 2020 |
| Finding the trustworthy consumers for demand response events by dealing with uncertainty C Silva, P Faria, Z Vale 2021 IEEE International Conference on Environment and Electrical Engineering …, 2021 | 7 | 2021 |
| Clustering support for an aggregator in a smart grid context C Silva, P Faria, Z Vale Hybrid Intelligent Systems: 18th International Conference on Hybrid …, 2020 | 7 | 2020 |
| Classification of New Active Consumers Performance According to Previous Events Using Decision Trees C Silva, P Faria, Z Vale IFAC-PapersOnLine 55 (9), 297-302, 2022 | 6 | 2022 |
| Aggregation of Prosumers in the Context of Demand Response and Distributed Generation Remuneration and Scheduling C Silva, P Faria, Z Vale 2020 IEEE/PES Transmission and Distribution Conference and Exposition (T&D), 1-5, 2020 | 4 | 2020 |
| Long-Term Smart Grid Planning Under Uncertainty Considering Reliability Indexes B Canizes, J Soares, MAF Ghazvini, C Silva, Z Vale, JM Corchado Operation, Planning, and Analysis of Energy Storage Systems in Smart Energy …, 2018 | 4 | 2018 |
| Rating and Remunerating the Load Shifting by Consumers Participating in Demand Response Programs C Silva, P Faria, Z Vale IEEE Transactions on Industry Applications, 2022 | 3 | 2022 |
| Managing Smart City Power Network by Shifting Electricity Consumers Demand C Silva, P Faria, Z Vale Sustainable Smart Cities and Territories, 81-91, 2022 | 3 | 2022 |
Zita ValeIPP/ISEP/GECAD在 Isep.ipp.pt 的电子邮件经过验证
