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33. 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.
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34. 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.
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35. 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.
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36. 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.
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37. Time Series Clustering of Electricity Demand for Industrial Areas on Smart Grid. (2020). Kim, Yunsun ; Son, Heung-Gu.
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38. 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.
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39. 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.
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40. Multi-Sequence LSTM-RNN Deep Learning and Metaheuristics for Electric Load Forecasting. (2020). Bouktif, Salah ; Serhani, Mohamed Adel ; Ouni, Ali ; Fiaz, Ali.
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41. 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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42. Forecasting Electricity Consumption in Commercial Buildings Using a Machine Learning Approach. (2020). Otto, Marc-Oliver ; Hwang, Junhwa ; Suh, Dongjun.
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43. 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.
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44. Time Series Forecasting with Multi-Headed Attention-Based Deep Learning for Residential Energy Consumption. (2020). Cho, Sung-Bae ; Bu, Seok-Jun.
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45. A Study on the Development of Machine-Learning Based Load Transfer Detection Algorithm for Distribution Planning. (2020). Kim, Jun-Hyeok ; Lee, Byung-Sung.
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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.
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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.
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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.
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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.
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50. 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.
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51. 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.
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52. Long-Term Demand Forecasting in a Scenario of Energy Transition. (2019). Sanchez-Duran, Rafael ; Barbancho, Julio ; Luque, Joaquin.
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53. 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.
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54. District Heating Load Prediction Algorithm Based on Feature Fusion LSTM Model. (2019). Wang, Zhipan ; Pan, YU ; Lin, Tao ; Song, Jiancai ; Xue, Guixiang ; Qi, Chengying.
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55. 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.
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56. Deep Learning Based on Multi-Decomposition for Short-Term Load Forecasting. (2018). Shin, Yong-June ; Kim, Seon Hyeog ; Lee, Gyul ; Kwon, Gu-Young.
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57. 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.
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