STLF is used in making decisions about economical power generation capacity, fuel purchasing, safety assessment, and power system planning in order to have economical power conditions. In this study, Turkey’s 24-hourahead load forecasting without meteorological data is studied. ANN, wavelet transform and ANN, wavelet transform and RBF NN, and EMD and RBF NN structures are used in STLF procedure...

Acoustic source localization is classically addressed with Matched-field processing (MFP). However, since MFP is necessarily based on accurately modeled ocean environment, it may not be well adapted as realistic ocean environment is far more complex and unpredictable. In this paper, the potential of applying machine learning techniques is explored regarding the source localization with unstable...

Demand planners in supply chain organizations are accustomed to using the Mean Absolute Percentage Error (MAPE) as their best answer to measuring forecast accuracy. It is so ubiquitous that it is hardly questioned. I do not even find a consensus on the definition of the underlying forecast error among supply chain practitioners participating in the demand forecasting workshops I conduct worldwide.

Computing systems are becoming more and more dynamically reconfigurable or adaptive, to be flexible w.r.t. their environment and to automate their administration. Autonomic computing proposes a general structure of feedback loop to take this into account. In this report, we are particularly interested in approaches where this feedback loop is considered as a case of control loop where technique...

During the COVID-19 outbreak, governments, scientists, health workers, and numerous people worked on strategies or solutions for halting disease propagation. Unfortunately, need monitoring is steeply increasing, taking necessary restrictive actions currently unavoidable. Due to lack of epidemiological data constantly changing numbers, constructing less error-prone predictive models reliable mat...