The impact of demand side management strategies in the penetration of renewable electricity A Pina, C Silva, P Ferrão Energy 41 (1), 128-137, 2012 | 351 | 2012 |
Design and implementation of hybrid renewable energy systems on micro-communities: A review on case studies D Neves, CA Silva, S Connors Renewable and Sustainable Energy Reviews 31, 935-946, 2014 | 258 | 2014 |
High-resolution modeling framework for planning electricity systems with high penetration of renewables A Pina, CA Silva, P Ferrão Applied Energy 112, 215-223, 2013 | 233 | 2013 |
The relevance of the energy resource dynamics in the mid/long-term energy planning models G Haydt, V Leal, A Pina, CA Silva Renewable energy 36 (11), 3068-3074, 2011 | 171 | 2011 |
Modeling hourly electricity dynamics for policy making in long-term scenarios A Pina, C Silva, P Ferrão Energy Policy 39 (9), 4692-4702, 2011 | 155 | 2011 |
Baseline mercury and zinc concentrations in terrestrial and coastal organisms of Admiralty Bay, Antarctica IR Dos Santos, EV Silva-Filho, C Schaefer, SM Sella, CA Silva, V Gomes, ... Environmental Pollution 140 (2), 304-311, 2006 | 132 | 2006 |
Comparing demand response and battery storage to optimize self-consumption in PV systems G Lorenzi, CAS Silva Applied Energy 180, 524–535, 2016 | 127 | 2016 |
Distributed supply chain management using ant colony optimization CA Silva, JMC Sousa, TA Runkler, JMGS Da Costa European Journal of Operational Research 199 (2), 349-358, 2009 | 121 | 2009 |
Comparative assessment of low-complexity models to predict electricity consumption in an institutional building: Linear regression vs. fuzzy modeling vs. neural … H Pombeiro, R Santos, P Carreira, C Silva, JMC Sousa Energy and Buildings 146, 141-151, 2017 | 106 | 2017 |
Clustering representative days for power systems generation expansion planning: Capturing the effects of variable renewables and energy storage IJ Scott, PMS Carvalho, A Botterud, CA Silva Applied Energy 253, 113603, 2019 | 102 | 2019 |
Rescheduling and optimization of logistic processes using GA and ACO CA Silva, JMC Sousa, TA Runkler Engineering Applications of Artificial Intelligence 21 (3), 343-352, 2008 | 98 | 2008 |
Demand response modeling: A comparison between tools D Neves, A Pina, CA Silva Applied Energy 146, 288-297, 2015 | 92 | 2015 |
Impact of solar and wind forecast uncertainties on demand response of isolated microgrids D Neves, MC Brito, CA Silva Renewable energy 87, 1003-1015, 2016 | 88 | 2016 |
Peer-to-peer energy trading potential: An assessment for the residential sector under different technology and tariff availabilities D Neves, I Scott, CA Silva Energy 205, 118023, 2020 | 87 | 2020 |
Algorithm for Demand Response to Maximize the Penetration of Renewable Energy EHRC A. A. Hadi, C. A. S. Silva IEEE Access 8 (10.1109/ACCESS.2020.2981877), 55279-55288, 2020 | 80 | 2020 |
Optimal electricity dispatch on isolated mini-grids using a demand response strategy for thermal storage backup with genetic algorithms D Neves, CA Silva Energy 82, 436-445, 2015 | 78 | 2015 |
Environmental, economic, and social impacts of feed-in tariffs: A Portuguese perspective 2000–2010 P Behrens, JFD Rodrigues, T Brás, C Silva Applied energy 173, 309-319, 2016 | 76 | 2016 |
Energy reduction potential from the shift to electric vehicles: The Flores island case study A Pina, P Baptista, C Silva, P Ferrão Energy Policy 67, 37-47, 2014 | 71 | 2014 |
Integrating GIS spatial dimension into BREEAM communities sustainability assessment to support urban planning policies, Lisbon case study J Pedro, C Silva, MD Pinheiro Land Use Policy 83, 2019 | 69 | 2019 |
Modeling the long-term impact of demand response in energy planning: The Portuguese electric system case study J Anjo, D Neves, C Silva, A Shivakumar, M Howells Energy 165, 456-468, 2018 | 64 | 2018 |