Energy Demand Forecasting Using Fused Machine Learning Approaches
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Sagheer Abbas | Shabib Aftab | Munir Ahmad | Shahan Yamin Siddiqui | Muhammad Adnan Khan | Taher M. Ghazal | Raed A. Said | Sajida Noreen
[1] Muhammad Adnan Khan,et al. Intelligent Cloud Based Heart Disease Prediction System Empowered with Supervised Machine Learning , 2020, Computers, Materials & Continua.
[2] Vladimir Shepelev,et al. Design and Fabrication of Smart Home With Internet of Things Enabled Automation System , 2019, IEEE Access.
[3] Denis Sidorov,et al. A hybrid artificial neural network for voltage security evaluation in a power system , 2015, 2015 5th International Youth Conference on Energy (IYCE).
[4] Wan He,et al. Load Forecasting via Deep Neural Networks , 2017, ITQM.
[5] Abdul Qayyum Khan,et al. Diagnosis of Arthritis Using Adaptive Hierarchical Mamdani Fuzzy Type-1 Expert System , 2018, EAI Endorsed Trans. Scalable Inf. Syst..
[6] Mohieddine Benammar,et al. Smart-home automation using IoT-based sensing and monitoring platform , 2018, 2018 IEEE 12th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG 2018).
[7] Marcus Kempe,et al. Clustering Residential Customers with Smart Meter data using a Data Analytic Approach – External Validation and Robustness Analysis , 2019, 2019 9th International Conference on Power and Energy Systems (ICPES).
[8] Toly Chen. Forecasting the Long-Term Electricity Demand in Taiwan with a Hybrid FLR and BPN Approach , 2012 .
[9] Baoyi Wang,et al. A privacy protection scheme of smart meter for decentralized smart home environment based on consortium blockchain , 2020 .
[10] Huishi Liang,et al. A Data-Driven Approach for Targeting Residential Customers for Energy Efficiency Programs , 2020, IEEE Transactions on Smart Grid.
[11] Fei Wang,et al. Time–Frequency Feature Combination Based Household Characteristic Identification Approach Using Smart Meter Data , 2020, IEEE Transactions on Industry Applications.
[12] Muhammad Adnan Khan,et al. Modelling, simulation, and optimization of diabetes type II prediction using deep extreme learning machine , 2020, J. Ambient Intell. Smart Environ..
[13] Vijayshri Khedkar,et al. Machine Learning Approach Electric Appliance Consumption and Peak Demand Forecasting of Residential Customers Using Smart Meter Data , 2020, Wirel. Pers. Commun..
[14] Peter A. Flach,et al. A Big Data platform for smart meter data analytics , 2019, Comput. Ind..
[15] Khalid Masood Khan,et al. Intelligent Forecasting Model of COVID-19 Novel Coronavirus Outbreak Empowered with Deep Extreme Learning Machine , 2020 .
[16] Sandip Das,et al. Home automation using Internet of Thing , 2016, 2016 IEEE 7th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON).
[17] Jo Woon Chong,et al. A time synchronization technique for coap-based home automation systems , 2016, IEEE Transactions on Consumer Electronics.
[18] Akhtar Kalam,et al. Electricity load forecasting for Urban area using weather forecast information , 2016, 2016 IEEE International Conference on Power and Renewable Energy (ICPRE).