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An Intelligent Model to Predict Energy Performances of Residential Buildings Based on Deep Neural Networks. (2020). Young, William A ; Younessinaki, Roohollah ; Weckman, Gary R ; Sadeghi, Azadeh.
In: Energies.
RePEc:gam:jeners:v:13:y:2020:i:3:p:571-:d:312867.

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  2. Data-Driven Tools for Building Energy Consumption Prediction: A Review. (2023). Ganiyu, Sikiru ; Olu-Ajayi, Razak ; Akanbi, Lukman ; Owolabi, Hakeem ; Alaka, Hafiz.
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  3. Prediction of Food Factory Energy Consumption Using MLP and SVR Algorithms. (2023). Gu, Jae-Hoi ; Lee, Hyungah ; Kim, Dongju.
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  4. Machine learning for performance prediction in smart buildings: Photovoltaic self-consumption and life cycle cost optimization. (2023). Aste, Niccolo ; Lavagna, Monica ; Toosi, Hashem Amini ; Leonforte, Fabrizio ; del Pero, Claudio.
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  5. A TLBO-Tuned Neural Processor for Predicting Heating Load in Residential Buildings. (2022). Alqahtani, Talal ; Algarni, Salem ; Almutairi, Khalid ; Moayedi, Hossein ; Mosavi, Amir.
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  6. Machine Intelligence in Smart Buildings. (2022). Dounis, Anastasios I.
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  7. Comparison of Hospital Building’s Energy Consumption Prediction Using Artificial Neural Networks, ANFIS, and LSTM Network. (2022). Panagiotou, Dimitrios K ; Dounis, Anastasios I.
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  8. Tuning Deep Neural Networks for Predicting Energy Consumption in Arid Climate Based on Buildings Characteristics. (2021). Alghieth, Manal ; Chiclana, Francisco ; Ibrahim, Dina M ; Al-Shargabi, Amal A ; Almhafdy, Abdulbasit.
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  9. Analyzing the Adoption Challenges of the Internet of Things (IoT) and Artificial Intelligence (AI) for Smart Cities in China. (2021). Li, Zhixing ; Zhao, Yafei ; Gangadhari, Rajan Kumar ; Wang, KE.
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  10. Improvement Effect of Green Remodeling and Building Value Assessment Criteria for Aging Public Buildings. (2021). Jun, Yong-Joon ; Ahn, Seung-Ho ; Park, Kyung-Soon.
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  11. Forecasting of Energy Demands for Smart Home Applications. (2021). Grabowska, Marlena ; Lis, Marcin ; Bhatt, Dhowmya ; Hariharasudan, A.
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  12. Intelligent building control systems for thermal comfort and energy-efficiency: A systematic review of artificial intelligence-assisted techniques. (2021). ben Haddou, Mohamed ; Qadir, Junaid ; Merabet, Ghezlane Halhoul ; Benhaddou, Driss ; Qolomany, Basheer ; Al-Fuqaha, Ala ; Anan, Muhammad ; Abid, Mohamed Riduan ; Essaaidi, Mohamed.
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  13. Big Data for Energy Management and Energy-Efficient Buildings. (2020). Marinakis, Vangelis.
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  14. Method for Building Information Modeling Supported Project Control of Nearly Zero-Energy Building Delivery. (2020). Gumbarevi, Sanjin ; Gai, Mergim ; Dunovi, Ivana Burcar ; Milovanovi, Bojan.
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  15. How Pro-Environmental Legal Regulations Affect the Design Process and Management of Multi-Family Residential Buildings in Poland. (2020). Rutkowski, Radosaw ; Raczyski, Miosz.
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  16. Artificial Neural Network for the Thermal Comfort Index Prediction: Development of a New Simplified Algorithm. (2020). Nardi, Iole ; Palladino, Domenico ; Buratti, Cinzia.
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  30. A Comparative Analysis of Machine Learning Approaches for Short-/Long-Term Electricity Load Forecasting in Cyprus. (2020). Solyali, Davut.
    In: Sustainability.
    RePEc:gam:jsusta:v:12:y:2020:i:9:p:3612-:d:352230.

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  31. A Deep Neural Network-Assisted Approach to Enhance Short-Term Optimal Operational Scheduling of a Microgrid. (2020). Baysal, Mustafa ; Yaprakdal, Fatma ; Yilmaz, Berkay M ; Anvari-Moghaddam, Amjad.
    In: Sustainability.
    RePEc:gam:jsusta:v:12:y:2020:i:4:p:1653-:d:324095.

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  32. Energy Flexibility Prediction for Data Center Engagement in Demand Response Programs. (2020). Dadarlat, Vasile Teodor ; Cioara, Tudor ; Antal, Marcel ; Anghel, Ionut ; Salomie, Ioan ; Pop, Claudia ; Iancu, Bogdan ; Vesa, Andreea Valeria.
    In: Sustainability.
    RePEc:gam:jsusta:v:12:y:2020:i:4:p:1417-:d:320667.

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  33. Short-Term Load Forecasting of Microgrid via Hybrid Support Vector Regression and Long Short-Term Memory Algorithms. (2020). Zakeri, Sahar ; Shoaran, Maryam ; Mohammadi, Fazel ; Mohammadi-Ivatloo, Behnam ; Moradzadeh, Arash.
    In: Sustainability.
    RePEc:gam:jsusta:v:12:y:2020:i:17:p:7076-:d:406243.

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  34. Gated Recurrent Unit with Genetic Algorithm for Product Demand Forecasting in Supply Chain Management. (2020). Hwang, Seung-June ; Kim, Jongsoo ; Noh, Ji Seong ; Park, Hyun-Ji.
    In: Mathematics.
    RePEc:gam:jmathe:v:8:y:2020:i:4:p:565-:d:344368.

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  35. Time Series Clustering of Electricity Demand for Industrial Areas on Smart Grid. (2020). Kim, Yunsun ; Son, Heung-Gu.
    In: Energies.
    RePEc:gam:jeners:v:13:y:2020:i:9:p:2377-:d:355978.

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  36. An Online Grey-Box Model Based on Unscented Kalman Filter to Predict Temperature Profiles in Smart Buildings. (2020). Massano, Marco ; Bottaccioli, Lorenzo ; Macii, Enrico ; Patti, Edoardo ; Acquaviva, Andrea.
    In: Energies.
    RePEc:gam:jeners:v:13:y:2020:i:8:p:2097-:d:349048.

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  37. Towards Assessing the Electricity Demand in Brazil: Data-Driven Analysis and Ensemble Learning Models. (2020). Casaca, Wallace ; Dias, Mauricio Araujo ; Colnago, Marilaine ; Leme, Joo Vitor.
    In: Energies.
    RePEc:gam:jeners:v:13:y:2020:i:6:p:1407-:d:333831.

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  38. An Intelligent Model to Predict Energy Performances of Residential Buildings Based on Deep Neural Networks. (2020). Young, William A ; Younessinaki, Roohollah ; Weckman, Gary R ; Sadeghi, Azadeh.
    In: Energies.
    RePEc:gam:jeners:v:13:y:2020:i:3:p:571-:d:312867.

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  39. Multi-Sequence LSTM-RNN Deep Learning and Metaheuristics for Electric Load Forecasting. (2020). Bouktif, Salah ; Serhani, Mohamed Adel ; Ouni, Ali ; Fiaz, Ali.
    In: Energies.
    RePEc:gam:jeners:v:13:y:2020:i:2:p:391-:d:308290.

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  40. Applying Deep Learning to the Heat Production Planning Problem in a District Heating System. (2020). Yoon, Seok Mann ; Song, Sang Hwa ; Kim, Kwanho ; Lee, Jae Seung.
    In: Energies.
    RePEc:gam:jeners:v:13:y:2020:i:24:p:6641-:d:463123.

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  41. Forecasting Electricity Consumption in Commercial Buildings Using a Machine Learning Approach. (2020). Otto, Marc-Oliver ; Hwang, Junhwa ; Suh, Dongjun.
    In: Energies.
    RePEc:gam:jeners:v:13:y:2020:i:22:p:5885-:d:443383.

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  42. Optimal ESS Scheduling for Peak Shaving of Building Energy Using Accuracy-Enhanced Load Forecast. (2020). Kim, Jung-Su ; Hwang, Jin Sol ; Fitri, Ismi Rosyiana ; Song, Hwachang.
    In: Energies.
    RePEc:gam:jeners:v:13:y:2020:i:21:p:5633-:d:435920.

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  43. Time Series Forecasting with Multi-Headed Attention-Based Deep Learning for Residential Energy Consumption. (2020). Cho, Sung-Bae ; Bu, Seok-Jun.
    In: Energies.
    RePEc:gam:jeners:v:13:y:2020:i:18:p:4722-:d:411730.

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  44. A Study on the Development of Machine-Learning Based Load Transfer Detection Algorithm for Distribution Planning. (2020). Kim, Jun-Hyeok ; Lee, Byung-Sung.
    In: Energies.
    RePEc:gam:jeners:v:13:y:2020:i:17:p:4358-:d:403158.

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  45. Performance Assessment of Data-Driven and Physical-Based Models to Predict Building Energy Demand in Model Predictive Controls. (2020). Coccia, Gianluca ; Polonara, Fabio ; Mugnini, Alice ; Arteconi, Alessia.
    In: Energies.
    RePEc:gam:jeners:v:13:y:2020:i:12:p:3125-:d:372392.

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  46. Hybrid genetic algorithm method for efficient and robust evaluation of remaining useful life of supercapacitors. (2020). Wang, Yanan ; Kang, LE ; Pang, Jinbo ; Peng, Fei ; Zhou, Yanting.
    In: Applied Energy.
    RePEc:eee:appene:v:260:y:2020:i:c:s0306261919318562.

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  47. Short-term power prediction of photovoltaic power station based on long short-term memory-back-propagation. (2019). Kuang, Liang ; Zhu, Erxi ; Pi, Dechang ; Hua, Chi.
    In: International Journal of Distributed Sensor Networks.
    RePEc:sae:intdis:v:15:y:2019:i:10:p:1550147719883134.

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  48. Deep Long Short-Term Memory: A New Price and Load Forecasting Scheme for Big Data in Smart Cities. (2019). Wadud, Zahid ; Mujeeb, Sana ; Javaid, Nadeem ; Afzal, Muhammad Khalil ; Ilahi, Manzoor ; Ishmanov, Farruh.
    In: Sustainability.
    RePEc:gam:jsusta:v:11:y:2019:i:4:p:987-:d:205948.

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  49. Microgrid-Level Energy Management Approach Based on Short-Term Forecasting of Wind Speed and Solar Irradiance. (2019). Haider, Syed Irtaza ; Alhussein, Musaed ; Aurangzeb, Khursheed.
    In: Energies.
    RePEc:gam:jeners:v:12:y:2019:i:8:p:1487-:d:224240.

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  50. Assessing the Energy Performance of Solar Thermal Energy for Heat Production in Urban Areas: A Case Study. (2019). Oimoan, Teodora Melania ; Moga, Ligia Mihaela ; Danku, Gelu ; Manea, Daniela Lucia ; Czil, Aurica.
    In: Energies.
    RePEc:gam:jeners:v:12:y:2019:i:6:p:1088-:d:215902.

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  51. Single and Multi-Sequence Deep Learning Models for Short and Medium Term Electric Load Forecasting. (2019). Bouktif, Salah ; Serhani, Mohamed Adel ; Ouni, Ali ; Fiaz, Ali.
    In: Energies.
    RePEc:gam:jeners:v:12:y:2019:i:1:p:149-:d:194483.

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  52. Short-Term Load Forecasting for a Single Household Based on Convolution Neural Networks Using Data Augmentation. (2019). Wi, Young-Min ; Acharya, Shree Krishna ; Lee, Jaehee.
    In: Energies.
    RePEc:gam:jeners:v:12:y:2019:i:18:p:3560-:d:268046.

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  53. Long-Term Demand Forecasting in a Scenario of Energy Transition. (2019). Sanchez-Duran, Rafael ; Barbancho, Julio ; Luque, Joaquin.
    In: Energies.
    RePEc:gam:jeners:v:12:y:2019:i:16:p:3095-:d:256899.

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  54. Electric Vehicle Charging Load Forecasting: A Comparative Study of Deep Learning Approaches. (2019). Yang, Zhile ; Guo, Yuanjun ; Zhou, Yimin ; Wei, Yanjie ; Chang, Yan ; Feng, Shengzhong ; Mourshed, Monjur ; Zhu, Juncheng.
    In: Energies.
    RePEc:gam:jeners:v:12:y:2019:i:14:p:2692-:d:248158.

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  55. District Heating Load Prediction Algorithm Based on Feature Fusion LSTM Model. (2019). Wang, Zhipan ; Pan, YU ; Lin, Tao ; Song, Jiancai ; Xue, Guixiang ; Qi, Chengying.
    In: Energies.
    RePEc:gam:jeners:v:12:y:2019:i:11:p:2122-:d:236771.

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  56. Review of in situ methods for assessing the thermal transmittance of walls. (2019). Fresco-Contreras, Rafael ; Moyano, Juan ; Marin, David ; Bienvenido-Huertas, David.
    In: Renewable and Sustainable Energy Reviews.
    RePEc:eee:rensus:v:102:y:2019:i:c:p:356-371.

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  57. A Deep Neural Network Model for Short-Term Load Forecast Based on Long Short-Term Memory Network and Convolutional Neural Network. (2018). Zhan, Panpan ; Ma, Jian ; Zhang, Chunhong ; Tian, Chujie.
    In: Energies.
    RePEc:gam:jeners:v:11:y:2018:i:12:p:3493-:d:190634.

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  58. Deep Learning Based on Multi-Decomposition for Short-Term Load Forecasting. (2018). Shin, Yong-June ; Kim, Seon Hyeog ; Lee, Gyul ; Kwon, Gu-Young.
    In: Energies.
    RePEc:gam:jeners:v:11:y:2018:i:12:p:3433-:d:188862.

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  59. Designing, Developing, and Implementing a Forecasting Method for the Produced and Consumed Electricity in the Case of Small Wind Farms Situated on Quite Complex Hilly Terrain. (2018). Carutasu, George ; Cruau, George ; Petroanu, Dana-Mihaela ; Pirjan, Alexandru.
    In: Energies.
    RePEc:gam:jeners:v:11:y:2018:i:10:p:2623-:d:173257.

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