Daily electricity price forecasting using artificial intelligence models in the Iranian electricity market

Short-term hydropower optimization driven by innovative time-adapting econometric model

(2022) Diego Avesani et al.   APPLIED ENERGY

Prediction of Flow Based on a CNN-LSTM Combined Deep Learning Approach

(2022) Peifeng Li et al.   Water

Forecasting electricity prices with expert, linear, and nonlinear models

(2022) Anna Gloria Billé et al.   INTERNATIONAL JOURNAL OF FORECASTING

The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation

(2021) Davide Chicco et al.   PeerJ Computer Science

A short-term load forecasting model of multi-scale CNN-LSTM hybrid neural network considering the real-time electricity price

(2020) Xifeng Guo et al.   Energy Reports

Prediction of Hydropower Generation Using Grey Wolf Optimization Adaptive Neuro-Fuzzy Inference System

(2019) Majid Dehghani et al.   Energies

Day-Ahead System Marginal Price Forecasting Using Artificial Neural Network and Similar-Days Information

(2019) Fauzan Hanif Jufri et al.   Journal of Electrical Engineering & Technology

Electricity Price Forecasting in the Danish Day-Ahead Market Using the TBATS, ANN and ARIMA Methods

(2019) Orhan Karabiber et al.   Energies

HIRA Model for Short-Term Electricity Price Forecasting

(2019) Marin Cerjan et al.   Energies

Electricity Price Prediction Based on Hybrid Model of Adam optimized LSTM Neural Network and Wavelet Transform

(2019) Zihan Chang et al.   ENERGY

Bayesian deep learning based method for probabilistic forecast of day-ahead electricity prices

(2019) Alessandro Brusaferri et al.   APPLIED ENERGY

An adaptive hybrid model for short term electricity price forecasting

(2019) Jinliang Zhang et al.   APPLIED ENERGY

Forecast the electricity price of U.S. using a wavelet transform-based hybrid model

(2019) Weibiao Qiao et al.   ENERGY

Forecasting day-ahead electricity prices in Europe: The importance of considering market integration

(2018) Jesus Lago et al.   APPLIED ENERGY

Electricity Prices Forecasting using Artificial Neural Networks

(2018) Alma Y. Alanis   IEEE Latin America Transactions

A Deep CNN-LSTM Model for Particulate Matter (PM2.5) Forecasting in Smart Cities

(2018) Chiou-Jye Huang et al.   SENSORS

An Electricity Price Forecasting Model by Hybrid Structured Deep Neural Networks

(2018) Ping-Huan Kuo et al.   Sustainability

Month ahead average daily electricity price profile forecasting based on a hybrid nonlinear regression and SVM model: an ERCOT case study

(2018) Ziming MA et al.   Journal of Modern Power Systems and Clean Energy

Short term electricity price forecast based on environmentally adapted generalized neuron

(2017) Nitin Singh et al.   ENERGY

Improving Prediction of Dam Failure Peak Outflow Using Neuroevolution Combined with K-Means Clustering

(2017) Amir Hossein Eghbali et al.   JOURNAL OF HYDROLOGIC ENGINEERING

Using wavelet–feedforward neural networks to improve air pollution forecasting in urban environments

(2015) Daniel Dunea et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

Electricity market auction settings in a future Danish electricity system with a high penetration of renewable energy sources – A comparison of marginal pricing and pay-as-bid

(2011) Steffen Nielsen et al.   ENERGY