An Extreme Learning Machine Approach to Effective Energy Disaggregation
An Extreme Learning Machine Approach to Effective Energy Disaggregation is a scholarly work, published in 2018 in ''Electronics''. The main subjects of the publication include demand response, energy, artificial intelligence, lithium-ion battery, scalability, artificial neural network, electricity, hidden Markov model, extreme learning machine, energy consumption, machine learning, training, inference, and computer science. The authors find that the suggested approach outperforms state-of-the-art solutions, namely FHMMs and ANNs, on the UK-DALE corpus.