Interval forecasting system for electricity load based on data pre-processing strategy and multi-objective optimization algorithm

Short-term apartment-level load forecasting using a modified neural network with selected auto-regressive features

(2021) Lechen Li et al.   APPLIED ENERGY

Attention-based interpretable neural network for building cooling load prediction

(2021) Ao Li et al.   APPLIED ENERGY

A novel composite electricity demand forecasting framework by data processing and optimized support vector machine

(2020) Ping Jiang et al.   APPLIED ENERGY

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

(2020) M. Talaat et al.   ENERGY

Occupant-centric miscellaneous electric loads prediction in buildings using state-of-the-art deep learning methods

(2020) Anooshmita Das et al.   APPLIED ENERGY

Design of a combined wind speed forecasting system based on decomposition-ensemble and multi-objective optimization approach

(2020) Liangqing Luo et al.   APPLIED MATHEMATICAL MODELLING

A novel hybrid air quality early-warning system based on phase-space reconstruction and multi-objective optimization: A case study in China

(2020) Ying Wang et al.   JOURNAL OF CLEANER PRODUCTION

A Novel Combined Model for Short-Term Electric Load Forecasting Based on Whale Optimization Algorithm

(2020) Zhihao Shang et al.   NEURAL PROCESSING LETTERS

A hybrid prediction model for residential electricity consumption using holt-winters and extreme learning machine

(2020) Che Liu et al.   APPLIED ENERGY

Load forecasting based on deep neural network and historical data augmentation

(2020) Chun Sing Lai et al.   IET Generation Transmission & Distribution

A novel hybrid model based on combined preprocessing method and advanced optimization algorithm for power load forecasting

(2020) Ying Nie et al.   APPLIED SOFT COMPUTING

Industrial Power Load Forecasting Method Based on Reinforcement Learning and PSO-LSSVM

(2020) Quanbo Ge et al.   IEEE Transactions on Cybernetics

Variable weights combined model based on multi-objective optimization for short-term wind speed forecasting

(2019) Ping Jiang et al.   APPLIED SOFT COMPUTING

A novel combined model based on hybrid optimization algorithm for electrical load forecasting

(2019) Rui Wang et al.   APPLIED SOFT COMPUTING

Research and Application of a Novel Hybrid Model Based on a Deep Neural Network Combined with Fuzzy Time Series for Energy Forecasting

(2019) Wei et al.   Energies

Research and Application of a Novel Hybrid Model Based on a Deep Neural Network for Electricity Load Forecasting: A Case Study in Australia

(2019) Kailai Ni et al.   Energies

Parallel LSTM-Based Regional Integrated Energy System Multienergy Source-Load Information Interactive Energy Prediction

(2019) Bo Wang et al.   COMPLEXITY

Outlier-robust hybrid electricity price forecasting model for electricity market management

(2019) Jianzhou Wang et al.   JOURNAL OF CLEANER PRODUCTION

A heuristic-based approach for optimizing a small independent solar and wind hybrid power scheme incorporating load forecasting

(2019) Weiping Zhang et al.   JOURNAL OF CLEANER PRODUCTION

A novel combined model based on advanced optimization algorithm for short-term wind speed forecasting

(2018) Jingjing Song et al.   APPLIED ENERGY

A regional hybrid GOA-SVM model based on similar day approach for short-term load forecasting in Assam, India

(2018) Mayur Barman et al.   ENERGY

Combining Probabilistic Load Forecasts

(2018) Yi Wang et al.   IEEE Transactions on Smart Grid

Structural combination of seasonal exponential smoothing forecasts applied to load forecasting

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

DGM (1, 1) model optimized by MVO (multi-verse optimizer) for annual peak load forecasting

(2016) Huiru Zhao et al.   NEURAL COMPUTING & APPLICATIONS

Electricity demand load forecasting of the Hellenic power system using an ARMA model

(2009) S.Sp. Pappas et al.   ELECTRIC POWER SYSTEMS RESEARCH