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This reprint introduces advanced prediction models focused on power load forecasting. Models based on artificial intelligence and more traditional approaches are shown, demonstrating the real possibilities of use to improve prediction in this field. Models of LSTM neural networks, LSTM networks with a SESDA architecture, in even LSTM-CNN are used. On the other hand, multiple seasonal Holt-Winters models with discrete seasonality and the application of the Prophet method to demand forecasting are presented. These models are applied in different circumstances and show highly positive results. This reprint is intended for both researchers related to energy management and those related to forecasting, especially power load.

Prophet model --- Holt–Winters model --- long-term forecasting --- peak load --- prophet model --- multiple seasonality --- time series --- demand --- load --- forecast --- DIMS --- irregular --- galvanizing --- short-term electrical load forecasting --- machine learning --- deep learning --- statistical analysis --- parameters tuning --- CNN --- LSTM --- short-term load forecast --- Artificial Neural Network --- deep neural network --- recurrent neural network --- attention --- encoder decoder --- online training --- bidirectional long short-term memory --- multi-layer stacked --- neural network --- short-term load forecasting --- power system

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Energy systems are transiting from conventional energy systems to modernized and smart energy systems. This Special Issue covers new advances in the emerging technologies for modern energy systems from both technical and management perspectives. In modern energy systems, an integrated and systematic view of different energy systems, from local energy systems and islands to national and multi-national energy hubs, is important. From the customer perspective, a modern energy system is required to have more intelligent appliances and smart customer services. In addition, customers require the provision of more useful information and control options. Another challenge for the energy systems of the future is the increased penetration of renewable energy sources. Hence, new operation and planning tools are required for hosting renewable energy sources as much as possible.

Technology: general issues --- hybrid systems --- photovoltaic --- wind energy --- energy economics --- RES investments --- Zimbabwe --- Africa and energy security --- electricity price forecasting (EPF) --- wind power forecasting (WPF) --- spot market --- balancing market --- ARMAX --- NARX-ANN --- 100% renewable power system --- secondary voltage control --- tertiary voltage control --- grid code --- wind farms --- photovoltaic parks --- energy transition --- renewable energy sources --- island power systems --- hybrid power plants --- wind turbines --- battery energy storage systems --- marine microgrid --- tidal generation system --- black widow optimization --- supplementary control --- fractional integrator --- non-linear fractional integrator --- 100% renewable power generation --- nexus --- food --- energy --- water --- greenhouse gas emission --- microgrid --- ancillary services --- energy storage --- power management --- solar hot waters --- thermosyphon --- thermal performance --- Morocco --- economic outcomes --- CO2 environmental assessment --- solar system --- domestic hot water production --- solar water heaters --- individual and collective solar water heater systems --- dynamic simulation --- TRNbuild --- TRNSYSstudio --- energy management --- residential and commercial loads --- short-term load forecasting --- deep learning --- bidirectional long short-term memory (Bi-LSTM) --- n/a

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Energy systems are transiting from conventional energy systems to modernized and smart energy systems. This Special Issue covers new advances in the emerging technologies for modern energy systems from both technical and management perspectives. In modern energy systems, an integrated and systematic view of different energy systems, from local energy systems and islands to national and multi-national energy hubs, is important. From the customer perspective, a modern energy system is required to have more intelligent appliances and smart customer services. In addition, customers require the provision of more useful information and control options. Another challenge for the energy systems of the future is the increased penetration of renewable energy sources. Hence, new operation and planning tools are required for hosting renewable energy sources as much as possible.

hybrid systems --- photovoltaic --- wind energy --- energy economics --- RES investments --- Zimbabwe --- Africa and energy security --- electricity price forecasting (EPF) --- wind power forecasting (WPF) --- spot market --- balancing market --- ARMAX --- NARX-ANN --- 100% renewable power system --- secondary voltage control --- tertiary voltage control --- grid code --- wind farms --- photovoltaic parks --- energy transition --- renewable energy sources --- island power systems --- hybrid power plants --- wind turbines --- battery energy storage systems --- marine microgrid --- tidal generation system --- black widow optimization --- supplementary control --- fractional integrator --- non-linear fractional integrator --- 100% renewable power generation --- nexus --- food --- energy --- water --- greenhouse gas emission --- microgrid --- ancillary services --- energy storage --- power management --- solar hot waters --- thermosyphon --- thermal performance --- Morocco --- economic outcomes --- CO2 environmental assessment --- solar system --- domestic hot water production --- solar water heaters --- individual and collective solar water heater systems --- dynamic simulation --- TRNbuild --- TRNSYSstudio --- energy management --- residential and commercial loads --- short-term load forecasting --- deep learning --- bidirectional long short-term memory (Bi-LSTM) --- n/a

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Energy systems are transiting from conventional energy systems to modernized and smart energy systems. This Special Issue covers new advances in the emerging technologies for modern energy systems from both technical and management perspectives. In modern energy systems, an integrated and systematic view of different energy systems, from local energy systems and islands to national and multi-national energy hubs, is important. From the customer perspective, a modern energy system is required to have more intelligent appliances and smart customer services. In addition, customers require the provision of more useful information and control options. Another challenge for the energy systems of the future is the increased penetration of renewable energy sources. Hence, new operation and planning tools are required for hosting renewable energy sources as much as possible.

Technology: general issues --- hybrid systems --- photovoltaic --- wind energy --- energy economics --- RES investments --- Zimbabwe --- Africa and energy security --- electricity price forecasting (EPF) --- wind power forecasting (WPF) --- spot market --- balancing market --- ARMAX --- NARX-ANN --- 100% renewable power system --- secondary voltage control --- tertiary voltage control --- grid code --- wind farms --- photovoltaic parks --- energy transition --- renewable energy sources --- island power systems --- hybrid power plants --- wind turbines --- battery energy storage systems --- marine microgrid --- tidal generation system --- black widow optimization --- supplementary control --- fractional integrator --- non-linear fractional integrator --- 100% renewable power generation --- nexus --- food --- energy --- water --- greenhouse gas emission --- microgrid --- ancillary services --- energy storage --- power management --- solar hot waters --- thermosyphon --- thermal performance --- Morocco --- economic outcomes --- CO2 environmental assessment --- solar system --- domestic hot water production --- solar water heaters --- individual and collective solar water heater systems --- dynamic simulation --- TRNbuild --- TRNSYSstudio --- energy management --- residential and commercial loads --- short-term load forecasting --- deep learning --- bidirectional long short-term memory (Bi-LSTM)

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This Special Issue highlights the most recent research being carried out in the NLP field to discuss relative open issues, with a particular focus on both emerging approaches for language learning, understanding, production, and grounding interactively or autonomously from data in cognitive and neural systems, as well as on their potential or real applications in different domains.

tourism big data --- text mining --- NLP --- deep learning --- clinical named entity recognition --- information extraction --- multitask model --- long short-term memory --- conditional random field --- relation extraction --- entity recognition --- long short-term memory network --- multi-turn chatbot --- dialogue context encoding --- WGAN-based response generation --- BERT word embedding --- text summary --- reinforce learning --- FAQ classification --- encoder-decoder neural network --- multi-level word embeddings --- BERT --- bidirectional RNN --- cloze test --- Korean dataset --- machine comprehension --- neural language model --- sentence completion --- primary healthcare --- chief complaint --- virtual medical assistant --- spoken natural language --- disease diagnosis --- medical specialist --- protein–protein interactions --- deep learning (DL) --- convolutional neural networks (CNN) --- bidirectional long short-term memory (bidirectional LSTM) --- dialogue management --- user simulation --- reward shaping --- conversation knowledge --- multi-agent reinforcement learning --- language modeling --- classification --- error probability --- error assessment --- logic error --- neural network --- LSTM --- attention mechanism --- programming education --- neural architecture search --- word ordering --- Korean syntax --- adversarial attack --- adversarial example --- sentiment classification --- dual pointer network --- context-to-entity attention --- text classification --- rule-based --- word embedding --- Doc2vec --- paraphrase identification --- encodings --- R-GCNs --- contextual features --- sentence retrieval --- TF−ISF --- BM25 --- partial match --- sequence similarity --- word to vector --- word embeddings --- antonymy detection --- polarity --- text normalization --- natural language processing --- deep neural networks --- causal encoder --- question classification --- multilingual --- convolutional neural networks --- Natural Language Processing (NLP) --- transfer learning --- open information extraction --- recurrent neural networks --- bilingual translation --- speech-to-text --- LaTeX decompilation --- word representation learning --- word2vec --- sememes --- structural information --- sentiment analysis --- zero-shot learning --- news analysis --- cross-lingual classification --- multilingual transformers --- knowledge base --- commonsense --- sememe prediction --- attention model --- ontologies --- fixing ontologies --- quick fix --- quality metrics --- online social networks --- rumor detection --- Cantonese --- XGA model --- delayed combination --- CNN dictionary --- named entity recognition --- deep learning NER --- bidirectional LSTM CRF --- CoNLL --- OntoNotes --- toxic comments --- neural networks --- n/a --- protein-protein interactions