An Integrated Model of Deep Learning and Heuristic Algorithm for Load Forecasting in Smart Grid

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

(2023) Charan Sekhar et al.   ENERGY

Real-Time Energy Management and Load Scheduling with Renewable Energy Integration in Smart Grid

(2022) Fahad R. Albogamy et al.   Sustainability

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

Neuro-adaptive fixed-time non-singular fast terminal sliding mode control design for a class of under-actuated nonlinear systems

(2022) Safeer Ullah et al.   INTERNATIONAL JOURNAL OF CONTROL

A multi-energy load prediction of a building using the multi-layer perceptron neural network method with different optimization algorithms

(2022) Zhongzhen Yan et al.   ENERGY EXPLORATION & EXPLOITATION

Integrating artificial neural networks and cellular automata model for spatial-temporal load forecasting

(2022) S. Zambrano-Asanza et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Neuro-adaptive fast integral terminal sliding mode control design with variable gain robust exact differentiator for under-actuated quadcopter UAV

(2021) Safeer Ullah et al.   ISA TRANSACTIONS

A novel hybrid load forecasting framework with intelligent feature engineering and optimization algorithm in smart grid

(2021) Ghulam Hafeez et al.   APPLIED ENERGY

Compensation of Data Loss Using ARMAX Model in State Estimation for Control and Communication Systems Applications

(2021) Syed Abuzar Bacha et al.   Energies

A Novel Accurate and Fast Converging Deep Learning-Based Model for Electrical Energy Consumption Forecasting in a Smart Grid

(2020) Ghulam Hafeez et al.   Energies

Electric load forecasting based on deep learning and optimized by heuristic algorithm in smart grid

(2020) Ghulam Hafeez et al.   APPLIED ENERGY

A hybrid load forecasting model based on support vector machine with intelligent methods for feature selection and parameter optimization

(2020) Yeming Dai et al.   APPLIED ENERGY

Demand-side improvement of short-term load forecasting using a proactive load management – a supermarket use case

(2019) Miha Glavan et al.   ENERGY AND BUILDINGS

Short-term electrical load forecasting using radial basis function neural networks considering weather factors

(2018) Surender Reddy Salkuti   ELECTRICAL ENGINEERING

A data-driven strategy for short-term electric load forecasting using dynamic mode decomposition model

(2018) Neethu Mohan et al.   APPLIED ENERGY

Short term load forecasting based on feature extraction and improved general regression neural network model

(2018) Yi Liang et al.   ENERGY

Structural combination of seasonal exponential smoothing forecasts applied to load forecasting

(2018) Juan F. Rendon-Sanchez et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

A combined model based on seasonal autoregressive integrated moving average and modified particle swarm optimization algorithm for electrical load forecasting

(2017) Tao Ma et al.   JOURNAL OF INTELLIGENT & FUZZY SYSTEMS

A short-term power load forecasting model based on the generalized regression neural network with decreasing step fruit fly optimization algorithm

(2017) Rui Hu et al.   NEUROCOMPUTING

Identifying services for short-term load forecasting using data driven models in a Smart City platform

(2017) Joaquim Massana et al.   Sustainable Cities and Society

An optimized grey model for annual power load forecasting

(2016) Huiru Zhao et al.   ENERGY

A Hybrid Global Optimization Algorithm Based on Wind Driven Optimization and Differential Evolution

(2015) Zongfan Bao et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

An efficient model based on artificial bee colony optimization algorithm with Neural Networks for electric load forecasting

(2014) Shahid M. Awan et al.   NEURAL COMPUTING & APPLICATIONS

A survey on feature selection methods

(2013) Girish Chandrashekar et al.   COMPUTERS & ELECTRICAL ENGINEERING

The Wind Driven Optimization Technique and its Application in Electromagnetics

(2013) Zikri Bayraktar et al.   IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION

An annual load forecasting model based on support vector regression with differential evolution algorithm

(2012) Jianjun Wang et al.   APPLIED ENERGY

A hybrid annual power load forecasting model based on generalized regression neural network with fruit fly optimization algorithm

(2012) Hong-ze Li et al.   KNOWLEDGE-BASED SYSTEMS

Holiday Load Forecasting Using Fuzzy Polynomial Regression With Weather Feature Selection and Adjustment

(2011) Young-Min Wi et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Multivariate autoregressive models and kernel learning algorithms for classifying driving mental fatigue based on electroencephalographic

(2010) Chunlin Zhao et al.   EXPERT SYSTEMS WITH APPLICATIONS

Short-Term Load Forecast of Microgrids by a New Bilevel Prediction Strategy

(2010) Nima Amjady et al.   IEEE Transactions on Smart Grid

Day-Ahead Price Forecasting of Electricity Markets by Mutual Information Technique and Cascaded Neuro-Evolutionary Algorithm

(2008) N. Amjady et al.   IEEE TRANSACTIONS ON POWER SYSTEMS