Deep Long Short-Term Memory: A New Price and Load Forecasting Scheme for Big Data in Smart Cities

Short term load forecasting based on phase space reconstruction algorithm and bi-square kernel regression model

(2018) Guo-Feng Fan et al.   APPLIED ENERGY

Forecasting spot electricity prices: Deep learning approaches and empirical comparison of traditional algorithms

(2018) Jesus Lago et al.   APPLIED 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

Efficient Power Scheduling in Smart Homes Using Hybrid Grey Wolf Differential Evolution Optimization Technique with Real Time and Critical Peak Pricing Schemes

(2018) Muqaddas Naz et al.   Energies

Electricity Price Forecasting Using Recurrent Neural Networks

(2018) Umut Ugurlu et al.   Energies

Big Data Analytics for Discovering Electricity Consumption Patterns in Smart Cities

(2018) Rubén Pérez-Chacón et al.   Energies

Scheduling Appliances with GA, TLBO, FA, OSR and Their Hybrids Using Chance Constrained Optimization for Smart Homes

(2018) Zunaira Nadeem et al.   Energies

A survey on deep learning for big data

(2018) Qingchen Zhang et al.   Information Fusion

Sustainable energy saving: A junction temperature numerical calculation method for power insulated gate bipolar transistor module

(2018) Ling-Ling Li et al.   JOURNAL OF CLEANER PRODUCTION

An efficient deep model for day-ahead electricity load forecasting with stacked denoising auto-encoders

(2018) Chao Tong et al.   JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING

An Electricity Price Forecasting Model by Hybrid Structured Deep Neural Networks

(2018) Ping-Huan Kuo et al.   Sustainability

Hybridizing Chaotic and Quantum Mechanisms and Fruit Fly Optimization Algorithm with Least Squares Support Vector Regression Model in Electric Load Forecasting

(2018) Ming-Wei Li et al.   Energies

Different states of multi-block based forecast engine for price and load prediction

(2018) Wei Gao et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

A Hybrid Approach to Short-Term Load Forecasting Aimed at Bad Data Detection in Secondary Substation Monitoring Equipment

(2018) Pedro Martín et al.   SENSORS

Daily pattern prediction based classification modeling approach for day-ahead electricity price forecasting

(2018) Fei Wang et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Applications of Hybrid EMD with PSO and GA for an SVR-Based Load Forecasting Model

(2017) Guo-Feng Fan et al.   Energies

Short-Term Forecasting of Electric Loads Using Nonlinear Autoregressive Artificial Neural Networks with Exogenous Vector Inputs

(2017) Jaime Buitrago et al.   Energies

A Survey on Energy Internet: Architecture, Approach, and Emerging Technologies

(2017) Kun Wang et al.   IEEE Systems Journal

Probabilistic Forecasting of Hourly Electricity Price by Generalization of ELM for Usage in Improved Wavelet Neural Network

(2017) Mehdi Rafiei et al.   IEEE Transactions on Industrial Informatics

An Accurate and Fast Converging Short-Term Load Forecasting Model for Industrial Applications in a Smart Grid

(2017) Ashfaq Ahmad et al.   IEEE Transactions on Industrial Informatics

Wireless Big Data Computing in Smart Grid

(2017) Kun Wang et al.   IEEE WIRELESS COMMUNICATIONS

Using machine learning and big data approaches to predict travel time based on historical and real-time data from Taiwan electronic toll collection

(2017) Shu-Kai S. Fan et al.   SOFT COMPUTING

A Hierarchical Framework for Smart Grid Anomaly Detection Using Large-Scale Smart Meter Data

(2017) Ramin Moghaddass et al.   IEEE Transactions on Smart Grid

Deep Learning for Household Load Forecasting – A Novel Pooling Deep RNN

(2017) Heng Shi et al.   IEEE Transactions on Smart Grid

Efficient Computation for Sparse Load Shifting in Demand Side Management

(2017) Chaojie Li et al.   IEEE Transactions on Smart Grid

The Short-Term Power Load Forecasting Based on Sperm Whale Algorithm and Wavelet Least Square Support Vector Machine with DWT-IR for Feature Selection

(2017) Jin-peng Liu et al.   Sustainability

Temporal, Functional and Spatial Big Data Computing Framework for Large-Scale Smart Grid

(2017) Weigang Hou et al.   IEEE Transactions on Emerging Topics in Computing

A novel hybrid algorithm for electricity price and load forecasting in smart grids with demand-side management

(2016) A. Ghasemi et al.   APPLIED ENERGY

Deep Neural Network Based Demand Side Short Term Load Forecasting

(2016) Seunghyoung Ryu et al.   Energies

Energy Forecasting for Event Venues: Big Data and Prediction Accuracy

(2016) Katarina Grolinger et al.   ENERGY AND BUILDINGS

Intelligent Buildings of the Future: Cyberaware, Deep Learning Powered, and Human Interacting

(2016) Milos Manic et al.   IEEE Industrial Electronics Magazine

Electric load forecasting by the SVR model with differential empirical mode decomposition and auto regression

(2016) Guo-Feng Fan et al.   NEUROCOMPUTING

Big data driven smart energy management: From big data to big insights

(2016) Kaile Zhou et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Load forecasting, dynamic pricing and DSM in smart grid: A review

(2016) Ahsan Raza Khan et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Energy big data: A survey

(2016) Hui Jiang et al.   IEEE Access

A Modified Feature Selection and Artificial Neural Network-Based Day-Ahead Load Forecasting Model for a Smart Grid

(2015) Ashfaq Ahmad et al.   Applied Sciences-Basel

A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms

(2011) Joaquín Derrac et al.   Swarm and Evolutionary Computation