APA (7th ed.) Citation

HAU, Y. S., & KIM, E. M. (2025). THE EVOLUTION OF RENEWABLE ENERGY FORECASTING WITH MACHINE LEARNING: A STATE-OF-THE-ART BIBLIOMETRIC ANALYSIS AND SUGGESTIONS FOR FUTURE RESEARCH. Applied Ecology & Environmental Research, 23(5), 8913. https://doi.org/10.15666/aeer/2305_89138939

Chicago Style (17th ed.) Citation

HAU, Y. S., and E. M. KIM. "THE EVOLUTION OF RENEWABLE ENERGY FORECASTING WITH MACHINE LEARNING: A STATE-OF-THE-ART BIBLIOMETRIC ANALYSIS AND SUGGESTIONS FOR FUTURE RESEARCH." Applied Ecology & Environmental Research 23, no. 5 (2025): 8913. https://doi.org/10.15666/aeer/2305_89138939.

MLA (9th ed.) Citation

HAU, Y. S., and E. M. KIM. "THE EVOLUTION OF RENEWABLE ENERGY FORECASTING WITH MACHINE LEARNING: A STATE-OF-THE-ART BIBLIOMETRIC ANALYSIS AND SUGGESTIONS FOR FUTURE RESEARCH." Applied Ecology & Environmental Research, vol. 23, no. 5, 2025, p. 8913, https://doi.org/10.15666/aeer/2305_89138939.