• Abhijna Naik
• Ankitha
• Deeksha Naik
• M.D Madhushree
• Dr.Sandeep Bhat, Prof.Shreya Shetty,Dr.Suresha D

Viable determining of power request by shrewd meters may be a key perspective of modern vitality frameworks. With the broad roll-out of shrewd meters, high-resolution utilization data has gotten to be omnipresent, and higher exactness and granular estimating models are presently attainable. This paper explores advanced forecast strategies like Long Short-Term Memory (LSTM), irregular woodland, and angle boosting calculations to distinguish power utilization designs through time. It works on major issues such as information cleaning, lost section taking care of, and buyer behavior inconstancy dealing with. The think about centers on the need of working with time-based highlights and weather-based highlights for made strides determining precision. Execution is assessed through measures such as MAE, RMSE, and MAPE. The comes about demonstrate that crossover and gathering models give more precise short-term estimates than ordinary procedures, supporting way better vitality arranging and proficient keen network operation.

LSTM,ARMA,MAE,ETS

"SMART METER BASED ELECTRICITY DEMAND FORECASTING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 7, page no.1-3, July-2025, Available :http://www.jetir.org/papers/JETIRGX06001.pdf

"SMART METER BASED ELECTRICITY DEMAND FORECASTING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 7, page no. pp1-3, July-2025, Available at : http://www.jetir.org/papers/JETIRGX06001.pdf