• Dr Parminder Kaur

The exorbitant rise in demand of electricity due to rapid growth of global population coupled with large scale industrial revolution have consequently led to Global energy crisis. In such a scenario, efficient use of electric power assumes significance. Researchers in the past decade have focussed attention towards developing efficient electric energy consumption forecasting systems which through accurate forecasting can immensely aid in efficient scheduling, load flow management and analysis, contingency analysis as well as in efficient planning and maintenance of the electric power supply systems. Machine learning algorithms have proved to be quite efficient in forecasting short term as well as long term electric load demand. This paper reviews the recent research in the field of developing efficient machine learning based energy consumption forecasting systems.

Electric load forecasting, Energy consumption, Machine learning, Prediction Systems

"Intelligent Energy Consumption Prediction Systems using Machine Learning Algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.467-470, June-2019, Available :http://www.jetir.org/papers/JETIR1906K55.pdf

"Intelligent Energy Consumption Prediction Systems using Machine Learning Algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp467-470, June-2019, Available at : http://www.jetir.org/papers/JETIR1906K55.pdf