Temperature Forecasting for Energy Saving in Smart Buildings Based on Fuzzy Cognitive Map

Forecasting of Day-Ahead Natural Gas Consumption Demand in Greece Using Adaptive Neuro-Fuzzy Inference System

“…All the simulations for FCMs and hybrid FCM-ANN configurations were performed with the software tool ISEMK [115] which has been developed for time series forecasting purposes. An analytical description of FCM-based models and hybrid FCM-ANN can be found in [13,101,102,116], whereas they are used in this work only for comparison purposes.…”

“…For a deeper analysis of the examined architectures (ANFIS, ANN, FCM, hybrid FCM-ANN), the authors report on further details regarding the parameters of each model used in this study. The ANN and FCM models were previously applied for NG demand prediction in several research works, such as those in [13,101,102,116]. The models were sufficiently described and the hyperparameters were properly configured to offer optimum performance of the investigated FCM models.…”

Exploration and development of methodologies for complex systems modelling and decision-making support using advanced fuzzy logic and cognitive maps techniques

“…Another software product that entails FCM-based decision-making capabilities is ISEMK [86] and is mainly devoted to forecasting tasks. The main features of ISEMK are:…”

“…All the simulations for FCMs and hybrid FCM-ANN configurations were performed with the software tool ISEMK [195] which has been developed for time series forecasting purposes. An analytical description of FCM-based models and hybrid FCM-ANN can be found in [53,86,197,198], whereas they are used in this work only for comparison purposes.…”

“…For a deeper analysis of the examined architectures (ANFIS, ANN, FCM, hybrid FCM-ANN), further details are reported regarding the parameters of each model used in this study. The ANN and FCM models have been previously applied for NG demand prediction in several research works, such as those in [53,86,197,198]. The models were sufficiently described and the hyperparameters were properly configured to offer optimum performance of the investigated FCM models.…”