DB-Net: A novel dilated CNN based multi-step forecasting model for power consumption in integrated local energy systems

Towards Efficient Electricity Forecasting in Residential and Commercial Buildings: A Novel Hybrid CNN with a LSTM-AE based Framework

(2020) Zulfiqar Ahmad Khan et al.   SENSORS

MPPIF-Net: Identification of Plasmodium Falciparum Parasite Mitochondrial Proteins Using Deep Features with Multilayer Bi-directional LSTM

(2020) Samee Ullah Khan et al.   Processes

Residential microgrid energy management considering flexibility services opportunities and forecast uncertainties

(2020) Rémy Vincent et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Identifying disruptive contingencies for catastrophic cascading failures in power systems

(2020) Chao Zhai et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Game-based peer-to-peer energy sharing management for a community of energy buildings

(2020) Shichang Cui et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

An efficiency-based multi-state system for reliable power delivery combining renewable sources

(2020) Loraine Navarro et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Electrical Energy Prediction in Residential Buildings for Short-Term Horizons Using Hybrid Deep Learning Strategy

(2020) Zulfiqar Ahmad Khan et al.   Applied Sciences-Basel

Optimal load dispatch of community microgrid with deep learning based solar power and load forecasting

(2019) Lulu Wen et al.   ENERGY

Data driven parallel prediction of building energy consumption using generative adversarial nets

(2019) Chenlu Tian et al.   ENERGY AND BUILDINGS

Electric Energy Consumption Prediction by Deep Learning with State Explainable Autoencoder

(2019) Jin-Young Kim et al.   Energies

AR-PED: A framework of augmented reality enabled pedestrian-in-the-loop simulation

(2019) Daniel Perez et al.   SIMULATION MODELLING PRACTICE AND THEORY

Predicting residential energy consumption using CNN-LSTM neural networks

(2019) Tae-Young Kim et al.   ENERGY

Ecosystem maintenance energy and the need for a green EROI

(2019) Patrick Moriarty et al.   ENERGY POLICY

Robust Time-Varying Synthesis Load Modeling in Distribution Networks Considering Voltage Disturbances

(2019) Mingjian Cui et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Cover the Violence: A Novel Deep-Learning-Based Approach Towards Violence-Detection in Movies

(2019) Samee Ullah Khan et al.   Applied Sciences-Basel

Improving Electric Energy Consumption Prediction Using CNN and Bi-LSTM

(2019) Tuong Le et al.   Applied Sciences-Basel

Multiple Kernel Learning-Based Transfer Regression for Electric Load Forecasting

(2019) Di Wu et al.   IEEE Transactions on Smart Grid

Prediction-Learning Algorithm for Efficient Energy Consumption in Smart Buildings Based on Particle Regeneration and Velocity Boost in Particle Swarm Optimization Neural Networks

(2018) Sehrish Malik et al.   Energies

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

(2018) Israr Ullah et al.   Energies

A hybrid teaching-learning artificial neural network for building electrical energy consumption prediction

(2018) Kangji Li et al.   ENERGY AND BUILDINGS

Energy consumption forecasting based on Elman neural networks with evolutive optimization

(2018) L.G.B. Ruiz et al.   EXPERT SYSTEMS WITH APPLICATIONS

Short-Term Residential Load Forecasting Based on Resident Behaviour Learning

(2018) Weicong Kong et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Raspberry Pi Assisted Facial Expression Recognition Framework for Smart Security in Law-Enforcement Services

(2018) Muhammad Sajjad et al.   INFORMATION SCIENCES

Exploring the influencing factors and decoupling state of residential energy consumption in Shandong

(2018) Ming Zhang et al.   JOURNAL OF CLEANER PRODUCTION

A Prediction Methodology of Energy Consumption Based on Deep Extreme Learning Machine and Comparative Analysis in Residential Buildings

(2018) Muhammad Fayaz et al.   Electronics

Stochastic interval-based optimal offering model for residential energy management systems by household owners

(2018) Amin Shokri Gazafroudi et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Data driven prediction models of energy use of appliances in a low-energy house

(2017) Luis M. Candanedo et al.   ENERGY AND BUILDINGS

Networked and Distributed Control Method With Optimal Power Dispatch for Islanded Microgrids

(2017) Qiang Li et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

A Comparison of Energy Consumption Prediction Models Based on Neural Networks of a Bioclimatic Building

(2016) Hamid Khosravani et al.   Energies

Energy consumption prediction using people dynamics derived from cellular network data

(2016) Andrey Bogomolov et al.   EPJ Data Science

An occupant-based energy consumption prediction model for office equipment

(2015) Zhaoxia Wang et al.   ENERGY AND BUILDINGS

Demand response for home energy management system

(2015) Yantai Huang et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Regression analysis for prediction of residential energy consumption

(2015) Nelson Fumo et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A review on applications of ANN and SVM for building electrical energy consumption forecasting

(2014) A.S. Ahmad et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Thermal comfort and building energy consumption implications – A review

(2013) Liu Yang et al.   APPLIED ENERGY

Forecasting Time Series With Complex Seasonal Patterns Using Exponential Smoothing

(2012) Alysha M. De Livera et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION