OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Enhanced Day-Ahead Electricity Price Forecasting Using a Convolutional Neural Network–Long Short-Term Memory Ensemble Learning Approach with Multimodal Data Integration
Ziyang Wang, Masahiro Mae, Takeshi Yamane, et al.
Energies (2024) Vol. 17, Iss. 11, pp. 2687-2687
Open Access | Times Cited: 6
Ziyang Wang, Masahiro Mae, Takeshi Yamane, et al.
Energies (2024) Vol. 17, Iss. 11, pp. 2687-2687
Open Access | Times Cited: 6
Showing 6 citing articles:
Modelling thermostat use behaviour in multi-zone residential buildings: a real-world data study and simulation framework for peak demand management
Z. Khorasani Zadeh, Mohamed Ouf, Banihan Günay, et al.
Journal of Building Performance Simulation (2025), pp. 1-20
Closed Access
Z. Khorasani Zadeh, Mohamed Ouf, Banihan Günay, et al.
Journal of Building Performance Simulation (2025), pp. 1-20
Closed Access
Modeling CO2 Emission Forecasting in Energy Consumption of the Industrial Building Sector under Sustainability Policy in Thailand: Enhancing the LISREL-LGM Model
Chaiyan Junsiri, Pruethsan Sutthichaimethee, Nathaporn Phong-a-ran
Forecasting (2024) Vol. 6, Iss. 3, pp. 485-501
Open Access
Chaiyan Junsiri, Pruethsan Sutthichaimethee, Nathaporn Phong-a-ran
Forecasting (2024) Vol. 6, Iss. 3, pp. 485-501
Open Access
Novel Multimodal Data for Enhanced Electricity Spot Price Forecasting Using A CNN-LSTM Ensemble Learning Model for the Japan Electric Power eXchange (JEPX) Spot Market
Ziyang Wang, Masahiro Mae, Ryuji Matsuhashi
2022 18th International Conference on the European Energy Market (EEM) (2024), pp. 1-6
Closed Access
Ziyang Wang, Masahiro Mae, Ryuji Matsuhashi
2022 18th International Conference on the European Energy Market (EEM) (2024), pp. 1-6
Closed Access
Power Supply Risk Identification Method of Active Distribution Network Based on Transfer Learning and CBAM-CNN
Hengyu Liu, Jiazheng Sun, Yongchao Pan, et al.
Energies (2024) Vol. 17, Iss. 17, pp. 4438-4438
Open Access
Hengyu Liu, Jiazheng Sun, Yongchao Pan, et al.
Energies (2024) Vol. 17, Iss. 17, pp. 4438-4438
Open Access
Novel Custom Loss Functions and Metrics for Reinforced Forecasting of High and Low Day-Ahead Electricity Prices Using Convolutional Neural Network–Long Short-Term Memory (CNN-LSTM) and Ensemble Learning
Ziyang Wang, Masahiro Mae, Takeshi Yamane, et al.
Energies (2024) Vol. 17, Iss. 19, pp. 4885-4885
Open Access
Ziyang Wang, Masahiro Mae, Takeshi Yamane, et al.
Energies (2024) Vol. 17, Iss. 19, pp. 4885-4885
Open Access
Fractal-Based Robotic Trading Strategies Using Detrended Fluctuation Analysis and Fractional Derivatives: A Case Study in the Energy Market
Ekaterina Popovska, Galya Georgieva-Tsaneva
Fractal and Fractional (2024) Vol. 9, Iss. 1, pp. 5-5
Open Access
Ekaterina Popovska, Galya Georgieva-Tsaneva
Fractal and Fractional (2024) Vol. 9, Iss. 1, pp. 5-5
Open Access
