| Machine learning approach for graphical model-based analysis of energy-aware growth control in plant factories Y Fujimoto, S Murakami, N Kaneko, H Fuchikami, T Hattori, Y Hayashi IEEE Access 7, 32183-32196, 2019 | 19 | 2019 |
| Sparse modeling approach for identifying the dominant factors affecting situation-dependent hourly electricity demand N Kaneko, Y Fujimoto, S Kabe, M Hayashida, Y Hayashi Applied energy 265, 114752, 2020 | 16 | 2020 |
| Sensitivity analysis of factors relevant to extreme imbalance between procurement plans and actual demand: Case study of the Japanese electricity market N Kaneko, Y Fujimoto, Y Hayashi Applied Energy 313, 118616, 2022 | 2 | 2022 |
| Graphical Modeling for Analysis of Hourly Electricity Demand and Market Price N Kaneko, Y Fujimoto, Y Hayashi 2020 17th International Conference on the European Energy Market (EEM), 1-6, 2020 | 2 | 2020 |
| Studies on Modeling Approaches for Analyzing Factors of Deviations Between Electricity Demand and its Procurement Plan N Kaneko 早稲田大学, 2023 | 1 | 2023 |
| Model-Based Analysis to Identify the Impact of Factors Affecting Electricity Gaps During Covid-19: A Case Study in Germany (preprint) N Kaneko, Y Fujimoto, HA Jacobsen, Y Hayashi | | 2024 |
| Toward data-driven identification of essential factors causing seasonal change in daily electricity demand curves N Kaneko, Y Hayashi, Y Fujimoto 2019 IEEE Milan PowerTech, 1-6, 2019 | | 2019 |
| Model-Based Analysis to Identify the Impact of Factors Affecting Electricity Gaps During Covid-19: A Case Study in Germany N Kaneko, Y Fujimoto, HA Jacobsen, Y Hayashi Available at SSRN 4731379, 0 | | |
