Evolutionary Hybrid System for Energy Consumption Forecasting for Smart Meters
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- Hemir da Cunha Santiago & José Carlos da Silva Cavalcanti & Ricardo Bastos Cavalcante Prudêncio & Mohamed A. Mohamed & Leonie Asfora Sarubbo & Attilio Converti & Manoel Henrique da Nóbrega Marinho, 2023. "A Novel Remaining Useful Estimation Model to Assist Asset Renewal Decisions Applied to the Brazilian Electric Sector," Energies, MDPI, vol. 16(6), pages 1-24, March.
- Wei Wu & Shih-Chieh Chou & Karthickeyan Viswanathan, 2023. "Optimal Dispatching of Smart Hybrid Energy Systems for Addressing a Low-Carbon Community," Energies, MDPI, vol. 16(9), pages 1-19, April.
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- Razak Olu-Ajayi & Hafiz Alaka & Hakeem Owolabi & Lukman Akanbi & Sikiru Ganiyu, 2023. "Data-Driven Tools for Building Energy Consumption Prediction: A Review," Energies, MDPI, vol. 16(6), pages 1-20, March.
- Eduardo Luiz Alba & Gilson Adamczuk Oliveira & Matheus Henrique Dal Molin Ribeiro & Érick Oliveira Rodrigues, 2024. "Electricity Consumption Forecasting: An Approach Using Cooperative Ensemble Learning with SHapley Additive exPlanations," Forecasting, MDPI, vol. 6(3), pages 1-25, September.
- Dahiru A Bala & Mohammed Shuaibu, 2024. "Forecasting United Kingdom's energy consumption using machine learning and hybrid approaches," Energy & Environment, , vol. 35(3), pages 1493-1531, May.
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Keywords
smart metering; energy consumption; forecasting; time series; machine learning; hybrid systems; statistical models;All these keywords.
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