Towards Energy Efficient Home Automation: A Deep Learning Approach

A hybrid model for building energy consumption forecasting using long short term memory networks

(2020) Nivethitha Somu et al.   APPLIED ENERGY

Power Demand Forecasting using Long Short-Term Memory (LSTM) Deep-Learning Model for Monitoring Energy Sustainability

(2020) Choi et al.   Sustainability

Smart home energy management using hybrid robust-stochastic optimization

(2020) Alireza Akbari-Dibavar et al.   COMPUTERS & INDUSTRIAL ENGINEERING

Optimal GWCSO-based home appliances scheduling for demand response considering end-users comfort

(2020) Muhammad Waseem et al.   ELECTRIC POWER SYSTEMS RESEARCH

Real-Time Residential Demand Response

(2020) Hepeng Li et al.   IEEE Transactions on Smart Grid

A Comparative Study of Time Series Forecasting Methods for Short Term Electric Energy Consumption Prediction in Smart Buildings

(2019) Federico Divina et al.   Energies

Deep learning for multi-scale smart energy forecasting

(2019) Tanveer Ahmad et al.   ENERGY

Smart home energy optimization with incentives compensation from inconvenience for shifting electric appliances

(2019) Priti Paudyal et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Demand Response for Home Energy Management Using Reinforcement Learning and Artificial Neural Network

(2019) Renzhi Lu et al.   IEEE Transactions on Smart Grid

Photovoltaic power forecasting based LSTM-Convolutional Network

(2019) Kejun Wang et al.   ENERGY

Optimal Deep Learning LSTM Model for Electric Load Forecasting using Feature Selection and Genetic Algorithm: Comparison with Machine Learning Approaches †

(2018) Salah Bouktif et al.   Energies

A Prediction Mechanism of Energy Consumption in Residential Buildings Using Hidden Markov Model

(2018) Israr Ullah et al.   Energies

Incentive-based demand response for smart grid with reinforcement learning and deep neural network

(2018) Renzhi Lu et al.   APPLIED ENERGY

Activity-Aware Sensor Cycling for Human Activity Monitoring in Smart Homes

(2017) Homin Park et al.   IEEE COMMUNICATIONS LETTERS

Multi-objective evolutionary optimization of prediction intervals for solar energy forecasting with neural networks

(2017) Inés M. Galván et al.   INFORMATION SCIENCES

Day-ahead electricity price forecasting via the application of artificial neural network based models

(2016) Ioannis P. Panapakidis et al.   APPLIED ENERGY

An Efficient Approach to Short-Term Load Forecasting at the Distribution Level

(2016) Xiaorong Sun et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Economical and Balanced Energy Usage in the Smart Home Infrastructure: A Tutorial and New Results

(2015) Lin Liu et al.   IEEE Transactions on Emerging Topics in Computing

Ensuring Survivability of Resource-Intensive Sensor Networks Through Ultra-Low Power Overlays

(2014) Michele Magno et al.   IEEE Transactions on Industrial Informatics