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SCANERGY: a Scalable and Modular System for Energy Trading Between Prosumers.

, , , , , , , , , и . AAMAS, стр. 1917-1918. ACM, (2015)

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Manuela Ayala Jurado

Ángeles Jurado Jiménez

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Fuzzy inductive reasoning forecasting strategies able to cope with missing data: A smart grid application., , , и . Appl. Soft Comput., (2017)NRG-X-Change - A Novel Mechanism for Trading of Renewable Energy in Smart Grids., , , , и . SMARTGREENS, стр. 101-106. SciTePress, (2014)The Importance of Robust and Reliable Energy Prediction Models: Next Generation of Smart Meters., , и . SIMULTECH, стр. 248-254. ScitePress, (2020)A novel soft computing approach based on FIR to model and predict energy dynamic systems. Polytechnic University of Catalonia, Spain, (2022)SCANERGY: a Scalable and Modular System for Energy Trading Between Prosumers., , , , , , , , , и . AAMAS, стр. 1917-1918. ACM, (2015)Short-term electric load forecasting using computational intelligence methods., , , , и . FUZZ-IEEE, стр. 1-8. IEEE, (2013)A flexible fuzzy inductive reasoning approach for load modelling able to cope with missing data., , и . SimuTools, стр. 349-356. ICST/ACM, (2015)Smart Grid Demonstration Platform for Renewable Energy Exchange., , , , , и . PAAMS, том 9662 из Lecture Notes in Computer Science, стр. 277-280. Springer, (2016)Towards the Development of the Smart Grid: Fast Electricity Load Forecasting Using Different Hybrid Approaches., , , и . CCIA, том 256 из Frontiers in Artificial Intelligence and Applications, стр. 185-188. IOS Press, (2013)K Nearest Neighbour Optimal Selection in Fuzzy Inductive Reasoning for Smart Grid Applications., , и . FUZZ-IEEE, стр. 1-6. IEEE, (2019)