Artificial intelligence in the energy industry
Información General
- Autores: Ana Belén Gil González (ed. lit.)
- Editores: MDPI
- Año de publicación: 2022
- País: Suiza
- Idioma: inglés
- ISBN: 978-3-0365-4605-6, 978-3-0365-4606-3
- Enlaces
Otros catálogos
Listado de artículos
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Comparison of heat demand prediction using wavelet analysis and neural network for a district heating network
Szabolcs Kováč, German Micha’čonok, Igor Halenár, Pavel Važan
págs. 1-20
An artificial intelligence empowered cyber physical ecosystemfor energy efficiency and occupation health and safety
Petros Koutroumpinas, Yu Zhang, Steve Wallis, Elizabeth Chang
págs. 21-34
A generic pipeline for machine learning users in energy andbuildings domain
Mahmoud Abdelkader Bashery Abbass, Mohamed Hamdy
págs. 35-65
Forecasting Brazilian ethanol spot prices using LSTM
Gustavo Carvalho Santos, Flavio Barboza, Antônio Cláudio Paschoarelli Veiga, Mateus Ferreira Silva
págs. 67-81
Energy management model for HVAC control supported byreinforcement learning
Pedro Macieira, Luis Gomes, Zita Vale
págs. 83-96
Application of artificial neural networks for virtualenergy assessment
Amir Mortazavigazar, Nourehan Wahba, R. Paul Newsham, Maharti Triharta, Pufan Zheng, Tracy Chen, Behzad Rismanchi
págs. 97-114
Towards a blockchain-based peer-to-peer energy marketplace
Yeray Mezquita Martín, Ana Belén Gil González
, Ángel María Martín del Rey , Javier Prieto Tejedor , Juan Manuel Corchado Rodríguez págs. 115-134
