Robust framework based on hybrid deep learning approach for short term load forecasting of building electricity demand

Optimal Sizing and Management of Distributed Energy Resources in Smart Buildings

(2022) Ashfaq Ahmad et al.   ENERGY

District heater load forecasting based on machine learning and parallel CNN-LSTM attention

(2022) Won Hee Chung et al.   ENERGY

Deep-learning-based short-term electricity load forecasting: A real case application

(2022) Ibrahim Yazici et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

A novel seasonal segmentation approach for day-ahead load forecasting

(2022) Abhishek Sharma et al.   ENERGY

Deep sequence to sequence Bi-LSTM neural networks for day-ahead peak load forecasting

(2021) Neelam Mughees et al.   EXPERT SYSTEMS WITH APPLICATIONS

Convolutional and recurrent neural network based model for short-term load forecasting

(2021) Hosein Eskandari et al.   ELECTRIC POWER SYSTEMS RESEARCH

Electrical load-temperature CNN for residential load forecasting

(2021) Maryam Imani   ENERGY

Forecasting building energy consumption: Adaptive long-short term memory neural networks driven by genetic algorithm

(2021) X.J. Luo et al.   ADVANCED ENGINEERING INFORMATICS

Electricity load forecasting and feature extraction in smart grid using neural networks

(2021) Nishant Jha et al.   COMPUTERS & ELECTRICAL ENGINEERING

A hybrid method of cooling load forecasting for large commercial building based on extreme learning machine

(2021) Zhikun Gao et al.   ENERGY

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

(2020) Nivethitha Somu et al.   APPLIED ENERGY

Designing a short-term load forecasting model in the urban smart grid system

(2020) Chen Li   APPLIED ENERGY

Load forecasting based on grasshopper optimization and a multilayer feed-forward neural network using regressive approach

(2020) M. Talaat et al.   ENERGY

Short-term load forecasting for microgrid energy management system using hybrid HHO-FNN model with best-basis stationary wavelet packet transform

(2020) Usman Bashir Tayab et al.   ENERGY

A similarity based hybrid GWO-SVM method of power system load forecasting for regional special event days in anomalous load situations in Assam, India

(2020) Mayur Barman et al.   Sustainable Cities and Society

A deep learning framework for building energy consumption forecast

(2020) Nivethitha Somu et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Hybrid ensemble intelligent model based on wavelet transform, swarm intelligence and artificial neural network for electricity demand forecasting

(2020) Eric Ofori-Ntow Jnr et al.   Sustainable Cities and Society

Bi-directional long short-term memory method based on attention mechanism and rolling update for short-term load forecasting

(2019) Shouxiang Wang et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Modeling and forecasting building energy consumption: A review of data-driven techniques

(2019) Mathieu Bourdeau et al.   Sustainable Cities and Society

Predicting residential energy consumption using CNN-LSTM neural networks

(2019) Tae-Young Kim et al.   ENERGY

Neural network model for short-term and very-short-term load forecasting in district buildings

(2019) Hanane Dagdougui et al.   ENERGY AND BUILDINGS

EMD–PSO–ANFIS-based hybrid approach for short-term load forecasting in microgrids

(2019) Yordanos Kassa Semero et al.   IET Generation Transmission & Distribution

Comparison of three short-term load forecast models in Southern California

(2019) Ning Zhang et al.   ENERGY

Day-ahead building-level load forecasts using deep learning vs. traditional time-series techniques

(2018) Mengmeng Cai et al.   APPLIED ENERGY

Short-Term Residential Load Forecasting based on LSTM Recurrent Neural Network

(2017) Weicong Kong et al.   IEEE Transactions on Smart Grid

An intelligent hybrid short-term load forecasting model for smart power grids

(2017) Muhammad Qamar Raza et al.   Sustainable Cities and Society

Prediction of residential building energy consumption: A neural network approach

(2016) M.A. Rafe Biswas et al.   ENERGY

Economic dispatch using hybrid grey wolf optimizer

(2016) T. Jayabarathi et al.   ENERGY

Forecasting diurnal cooling energy load for institutional buildings using Artificial Neural Networks

(2016) Chirag Deb et al.   ENERGY AND BUILDINGS

Electrical consumption forecasting in hospital facilities: An application case

(2015) A. Bagnasco et al.   ENERGY AND BUILDINGS

Short-term load forecasting in a non-residential building contrasting models and attributes

(2015) Joaquim Massana et al.   ENERGY AND BUILDINGS

Electricity consumption forecasting models for administration buildings of the UK higher education sector

(2015) K.P. Amber et al.   ENERGY AND BUILDINGS

Building's electricity consumption prediction using optimized artificial neural networks and principal component analysis

(2015) Kangji Li et al.   ENERGY AND BUILDINGS

A review on artificial intelligence based load demand forecasting techniques for smart grid and buildings

(2015) Muhammad Qamar Raza et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Grey Wolf Optimizer

(2014) Seyedali Mirjalili et al.   ADVANCES IN ENGINEERING SOFTWARE

A hybrid forecasting model with parameter optimization for short-term load forecasting of micro-grids

(2014) Nian Liu et al.   APPLIED ENERGY

Neural network model ensembles for building-level electricity load forecasts

(2014) Jorjeta G. Jetcheva et al.   ENERGY AND BUILDINGS

Microgrid testbeds around the world: State of art

(2014) Eklas Hossain et al.   ENERGY CONVERSION AND MANAGEMENT

Combined modeling for electric load forecasting with adaptive particle swarm optimization

(2010) Jianzhou Wang et al.   ENERGY