Load profile forecasting (i.e., the forecasting of series of hourly loads) has beenoften attempted by means of models based on neural networks.

Theory and Applications Mohammad Fazle Azeem. Short Term Load Forecasting by Using Previous Day Features 341 an input ... generic conditioning rules, properly designed fuzzy logic systems can be very robust when used for forecasting ...

... Machine Learning: A Guide For Making Black Box Models Explain- able (Independently published, 2022) 27. A.T. Lora ... short-term electric energy demand, inCurrent Topics in Artificial Intelligence ed. by R. Conejo, M. Urretavizcaya ...

Management Association, Information Resources. INTRODUCTION Applications of intelligent data analysis methods such as machine learning ... machines (SVMs) are known to perform well for tasks such as forecasting load or electricity ...

This book presents the latest research findings, methods and development techniques related to Ubiquitous and Pervasive Computing (UPC) as well as challenges and solutions from both theoretical and practical perspectives with an emphasis on ...