CN107239859A - The heating load forecasting method of Recognition with Recurrent Neural Network is remembered based on series connection shot and long term - Google Patents
The heating load forecasting method of Recognition with Recurrent Neural Network is remembered based on series connection shot and long term Download PDFInfo
- Publication number
- CN107239859A CN107239859A CN201710414757.9A CN201710414757A CN107239859A CN 107239859 A CN107239859 A CN 107239859A CN 201710414757 A CN201710414757 A CN 201710414757A CN 107239859 A CN107239859 A CN 107239859A
- Authority
- CN
- China
- Prior art keywords
- long term
- data
- shot
- series connection
- neural network
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000010438 heat treatment Methods 0.000 title claims abstract description 46
- 238000013528 artificial neural network Methods 0.000 title claims abstract description 26
- 230000000306 recurrent effect Effects 0.000 title claims abstract description 23
- 238000013277 forecasting method Methods 0.000 title claims abstract description 18
- 230000007774 longterm Effects 0.000 title claims abstract description 14
- 230000007787 long-term memory Effects 0.000 claims abstract description 20
- 230000003044 adaptive effect Effects 0.000 claims abstract description 7
- 230000003134 recirculating effect Effects 0.000 claims abstract description 7
- 238000005457 optimization Methods 0.000 claims abstract description 6
- 238000000034 method Methods 0.000 claims description 24
- 230000006870 function Effects 0.000 claims description 22
- 238000012549 training Methods 0.000 claims description 15
- 238000010606 normalization Methods 0.000 claims description 11
- 230000008569 process Effects 0.000 claims description 11
- 239000011159 matrix material Substances 0.000 claims description 7
- 230000004913 activation Effects 0.000 claims description 5
- 210000002569 neuron Anatomy 0.000 claims description 5
- 230000006403 short-term memory Effects 0.000 claims description 2
- 210000004218 nerve net Anatomy 0.000 claims 1
- ORILYTVJVMAKLC-UHFFFAOYSA-N Adamantane Natural products C1C(C2)CC3CC1CC2C3 ORILYTVJVMAKLC-UHFFFAOYSA-N 0.000 description 11
- 230000005284 excitation Effects 0.000 description 6
- 230000008034 disappearance Effects 0.000 description 4
- 230000007935 neutral effect Effects 0.000 description 4
- 241001269238 Data Species 0.000 description 3
- 230000008859 change Effects 0.000 description 3
- 230000005611 electricity Effects 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 238000012804 iterative process Methods 0.000 description 3
- 210000005036 nerve Anatomy 0.000 description 3
- 238000005295 random walk Methods 0.000 description 3
- 230000008901 benefit Effects 0.000 description 2
- 230000007423 decrease Effects 0.000 description 2
- 238000005065 mining Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 101100001674 Emericella variicolor andI gene Proteins 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000033228 biological regulation Effects 0.000 description 1
- 238000013135 deep learning Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000004134 energy conservation Methods 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
- 238000011478 gradient descent method Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 230000015654 memory Effects 0.000 description 1
- 230000006386 memory function Effects 0.000 description 1
- 238000003058 natural language processing Methods 0.000 description 1
- 230000001537 neural effect Effects 0.000 description 1
- 230000008439 repair process Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000012706 support-vector machine Methods 0.000 description 1
- 238000013519 translation Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- Economics (AREA)
- Theoretical Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Human Resources & Organizations (AREA)
- Strategic Management (AREA)
- General Physics & Mathematics (AREA)
- Marketing (AREA)
- General Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- General Health & Medical Sciences (AREA)
- Artificial Intelligence (AREA)
- Biophysics (AREA)
- Game Theory and Decision Science (AREA)
- Development Economics (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- Operations Research (AREA)
- Primary Health Care (AREA)
- Life Sciences & Earth Sciences (AREA)
- Quality & Reliability (AREA)
- Biomedical Technology (AREA)
- Entrepreneurship & Innovation (AREA)
- Computational Linguistics (AREA)
- Data Mining & Analysis (AREA)
- Evolutionary Computation (AREA)
- Molecular Biology (AREA)
- Computing Systems (AREA)
- General Engineering & Computer Science (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
Description
Claims (10)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710414757.9A CN107239859B (en) | 2017-06-05 | 2017-06-05 | Heating load forecasting method based on series connection shot and long term memory Recognition with Recurrent Neural Network |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710414757.9A CN107239859B (en) | 2017-06-05 | 2017-06-05 | Heating load forecasting method based on series connection shot and long term memory Recognition with Recurrent Neural Network |
Publications (2)
Publication Number | Publication Date |
---|---|
CN107239859A true CN107239859A (en) | 2017-10-10 |
CN107239859B CN107239859B (en) | 2018-05-08 |
Family
ID=59984938
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201710414757.9A Active CN107239859B (en) | 2017-06-05 | 2017-06-05 | Heating load forecasting method based on series connection shot and long term memory Recognition with Recurrent Neural Network |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN107239859B (en) |
Cited By (49)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107909206A (en) * | 2017-11-15 | 2018-04-13 | 电子科技大学 | A kind of PM2.5 Forecasting Methodologies based on deep structure Recognition with Recurrent Neural Network |
CN108051035A (en) * | 2017-10-24 | 2018-05-18 | 清华大学 | The pipe network model recognition methods of neural network model based on gating cycle unit |
CN108319132A (en) * | 2018-01-11 | 2018-07-24 | 合肥工业大学 | Decision system and method for unmanned plane aerial opposition |
CN108416690A (en) * | 2018-01-19 | 2018-08-17 | 中国矿业大学 | Load Forecasting based on depth LSTM neural networks |
CN108648829A (en) * | 2018-04-11 | 2018-10-12 | 平安科技(深圳)有限公司 | Disease forecasting method and device, computer installation and readable storage medium storing program for executing |
CN108711847A (en) * | 2018-05-07 | 2018-10-26 | 国网山东省电力公司电力科学研究院 | A kind of short-term wind power forecast method based on coding and decoding shot and long term memory network |
CN108920888A (en) * | 2018-04-26 | 2018-11-30 | 浙江工业大学 | It is a kind of that autoclave reaction process discrimination method is continuously stirred based on deep neural network |
CN108921341A (en) * | 2018-06-26 | 2018-11-30 | 国网山东省电力公司电力科学研究院 | A kind of steam power plant's short term thermal load forecasting method encoded certainly based on gate |
CN109002942A (en) * | 2018-09-28 | 2018-12-14 | 河南理工大学 | A kind of short-term load forecasting method based on stochastic neural net |
CN109063939A (en) * | 2018-11-01 | 2018-12-21 | 华中科技大学 | A kind of wind speed forecasting method and system based on neighborhood door shot and long term memory network |
CN109146162A (en) * | 2018-08-07 | 2019-01-04 | 河海大学 | A kind of probability wind speed forecasting method based on integrated Recognition with Recurrent Neural Network |
CN109165727A (en) * | 2018-09-04 | 2019-01-08 | 成都品果科技有限公司 | A kind of data predication method based on Recognition with Recurrent Neural Network |
CN109242236A (en) * | 2018-07-05 | 2019-01-18 | 西安图迹信息科技有限公司 | Based on the PMU primary frequency modulation load forecasting method for being associated with full Connection Neural Network and LSTM |
CN109253985A (en) * | 2018-11-28 | 2019-01-22 | 东北林业大学 | The method of near infrared light spectrum discrimination Chinese zither panel grading of timber neural network based |
CN109325624A (en) * | 2018-09-28 | 2019-02-12 | 国网福建省电力有限公司 | A kind of monthly electric power demand forecasting method based on deep learning |
CN109492839A (en) * | 2019-01-17 | 2019-03-19 | 东华大学 | A kind of mineral hot furnace operating condition prediction technique based on RNN-LSTM network |
CN109583565A (en) * | 2018-11-07 | 2019-04-05 | 河海大学 | Forecasting Flood method based on the long memory network in short-term of attention model |
CN109670629A (en) * | 2018-11-16 | 2019-04-23 | 浙江蓝卓工业互联网信息技术有限公司 | Coal-burning boiler thermal efficiency forecast method based on shot and long term Memory Neural Networks |
CN109936464A (en) * | 2017-12-15 | 2019-06-25 | 中国移动通信集团浙江有限公司 | The open load forecasting method of communication capacity based on multilayer LSTMRNN and device |
CN110007613A (en) * | 2019-04-10 | 2019-07-12 | 北方工业大学 | Warming prediction method and system for heat storage type electric heater and storage medium |
CN110084357A (en) * | 2018-01-25 | 2019-08-02 | 三星电子株式会社 | Accelerate shot and long term memory network via selectivity trimming |
CN110135634A (en) * | 2019-04-29 | 2019-08-16 | 广东电网有限责任公司电网规划研究中心 | Long-medium term power load forecasting device |
CN110363289A (en) * | 2019-07-17 | 2019-10-22 | 山东浪潮人工智能研究院有限公司 | A kind of industrial steam amount prediction technique and device based on machine learning |
CN110381524A (en) * | 2019-07-15 | 2019-10-25 | 安徽理工大学 | The mobile flow on-line prediction method of large scene based on Bi-LSTM, system and storage medium |
CN110428053A (en) * | 2019-08-08 | 2019-11-08 | 东北大学 | A kind of steam produces the dynamic prediction method of consumption |
CN110619389A (en) * | 2019-09-23 | 2019-12-27 | 山东大学 | Load prediction method and system of combined cooling heating and power system based on LSTM-RNN |
CN110705743A (en) * | 2019-08-23 | 2020-01-17 | 国网浙江省电力有限公司 | New energy consumption electric quantity prediction method based on long-term and short-term memory neural network |
CN110889494A (en) * | 2019-11-29 | 2020-03-17 | 北京龙田华远科技有限公司 | Coal mining machine positioning method and device |
CN110991761A (en) * | 2019-12-13 | 2020-04-10 | 新奥数能科技有限公司 | Heat supply load prediction method and device |
CN111160659A (en) * | 2019-12-31 | 2020-05-15 | 国家电网公司西南分部 | Power load prediction method considering temperature fuzzification |
CN111222677A (en) * | 2019-10-22 | 2020-06-02 | 浙江运达风电股份有限公司 | Wind speed prediction method and system based on long-short term memory time neural network |
CN111275169A (en) * | 2020-01-17 | 2020-06-12 | 北京石油化工学院 | Method for predicting building thermal load in short time |
CN111353631A (en) * | 2019-11-26 | 2020-06-30 | 国网山东省电力公司电力科学研究院 | Thermal power plant condenser vacuum degree prediction method based on multilayer LSTM |
CN111613338A (en) * | 2020-05-19 | 2020-09-01 | 中国电子科技集团公司第三十八研究所 | Method and system for constructing spike-slow complex wave detection model |
CN111738520A (en) * | 2020-06-24 | 2020-10-02 | 中国电子科技集团公司第二十八研究所 | System load prediction method fusing isolated forest and long-short term memory network |
CN111861013A (en) * | 2020-07-23 | 2020-10-30 | 长沙理工大学 | Power load prediction method and device |
CN111895986A (en) * | 2020-06-30 | 2020-11-06 | 西安建筑科技大学 | MEMS gyroscope original output signal noise reduction method based on LSTM neural network |
CN111932015A (en) * | 2020-08-12 | 2020-11-13 | 武汉中电节能有限公司 | Method and system for predicting cold and heat load of regional cooling and heating |
CN112598222A (en) * | 2020-11-30 | 2021-04-02 | 河南汇祥通信设备有限公司 | Comprehensive pipe rack operation and maintenance prediction method based on long-time and short-time memory cyclic neural network |
CN112712189A (en) * | 2019-10-25 | 2021-04-27 | 北京市热力集团有限责任公司 | Heat supply demand load prediction method |
CN112733452A (en) * | 2021-01-13 | 2021-04-30 | 北京嘀嘀无限科技发展有限公司 | Trajectory prediction method and apparatus, electronic device and readable storage medium |
CN112733457A (en) * | 2021-01-18 | 2021-04-30 | 武汉大学 | Load electricity utilization characteristic modeling method for improving double-layer long-short term memory network |
CN112832744A (en) * | 2021-01-07 | 2021-05-25 | 中国石油大学(华东) | Pumping unit well pump detection period prediction method based on LSTM neural network |
CN113420508A (en) * | 2021-07-07 | 2021-09-21 | 华北电力大学 | Unit combination calculation method based on LSTM |
CN113623719A (en) * | 2021-06-23 | 2021-11-09 | 国家电投集团东北电力有限公司大连开热分公司 | Heat exchange station prediction control method based on effective room temperature detection |
CN114548539A (en) * | 2022-02-10 | 2022-05-27 | 中海油信息科技有限公司 | Method, device, equipment and medium for predicting turbine energy consumption of compressor of circulating water system |
CN116361709A (en) * | 2023-03-31 | 2023-06-30 | 山东省计算中心(国家超级计算济南中心) | Self-adaptive power load identification method and device |
CN116362139A (en) * | 2023-04-14 | 2023-06-30 | 应急管理部沈阳消防研究所 | Multi-parameter fire detection method based on hierarchical long-short-time memory network |
CN114548539B (en) * | 2022-02-10 | 2024-08-27 | 中海油信息科技有限公司 | Turbine energy consumption prediction method, device, equipment and medium for circulating water system compressor |
Citations (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP4975287B2 (en) * | 2005-08-08 | 2012-07-11 | パナソニック株式会社 | Prediction device |
KR101295098B1 (en) * | 2011-08-10 | 2013-08-09 | 아주대학교산학협력단 | Heating supply determination method for district heating network |
CN103955768A (en) * | 2014-04-30 | 2014-07-30 | 河北省电力勘测设计研究院 | CSP radiation and heat energy predication method based on BP neural network model |
CN104504451A (en) * | 2014-11-04 | 2015-04-08 | 国家电网公司 | Optimization method of day-ahead unit commitment of thermal power system of thermal power plant capable of operating under multiple states |
WO2015138535A1 (en) * | 2014-03-11 | 2015-09-17 | General Electric Company | Systems and methods for utility crew forecasting |
CN105389980A (en) * | 2015-11-09 | 2016-03-09 | 上海交通大学 | Short-time traffic flow prediction method based on long-time and short-time memory recurrent neural network |
CN105528466A (en) * | 2014-09-28 | 2016-04-27 | 国家电网公司 | Wind power optimal planning modeling method considering adaptability and economy of power system |
CN105805822A (en) * | 2016-03-24 | 2016-07-27 | 常州英集动力科技有限公司 | Heat supply energy saving control method and system based on neural network prediction |
CN105913141A (en) * | 2016-04-06 | 2016-08-31 | 上海电器科学研究院 | Load prediction method supporting big data |
CN106126492A (en) * | 2016-06-07 | 2016-11-16 | 北京高地信息技术有限公司 | Statement recognition methods based on two-way LSTM neutral net and device |
CN106127303A (en) * | 2016-06-15 | 2016-11-16 | 国网山东省电力公司菏泽供电公司 | A kind of short-term load forecasting method towards multi-source data |
CN106339772A (en) * | 2016-08-11 | 2017-01-18 | 清华大学 | Heat supply pipe network thermal storage efficiency-based thermal-electric joint optimal dispatching method |
CN106447152A (en) * | 2016-06-21 | 2017-02-22 | 中国南方电网有限责任公司电网技术研究中心 | Energy center-based electric-gas-heat system cooperative scheduling method and system |
-
2017
- 2017-06-05 CN CN201710414757.9A patent/CN107239859B/en active Active
Patent Citations (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP4975287B2 (en) * | 2005-08-08 | 2012-07-11 | パナソニック株式会社 | Prediction device |
KR101295098B1 (en) * | 2011-08-10 | 2013-08-09 | 아주대학교산학협력단 | Heating supply determination method for district heating network |
WO2015138535A1 (en) * | 2014-03-11 | 2015-09-17 | General Electric Company | Systems and methods for utility crew forecasting |
CN103955768A (en) * | 2014-04-30 | 2014-07-30 | 河北省电力勘测设计研究院 | CSP radiation and heat energy predication method based on BP neural network model |
CN105528466A (en) * | 2014-09-28 | 2016-04-27 | 国家电网公司 | Wind power optimal planning modeling method considering adaptability and economy of power system |
CN104504451A (en) * | 2014-11-04 | 2015-04-08 | 国家电网公司 | Optimization method of day-ahead unit commitment of thermal power system of thermal power plant capable of operating under multiple states |
CN105389980A (en) * | 2015-11-09 | 2016-03-09 | 上海交通大学 | Short-time traffic flow prediction method based on long-time and short-time memory recurrent neural network |
CN105805822A (en) * | 2016-03-24 | 2016-07-27 | 常州英集动力科技有限公司 | Heat supply energy saving control method and system based on neural network prediction |
CN105913141A (en) * | 2016-04-06 | 2016-08-31 | 上海电器科学研究院 | Load prediction method supporting big data |
CN106126492A (en) * | 2016-06-07 | 2016-11-16 | 北京高地信息技术有限公司 | Statement recognition methods based on two-way LSTM neutral net and device |
CN106127303A (en) * | 2016-06-15 | 2016-11-16 | 国网山东省电力公司菏泽供电公司 | A kind of short-term load forecasting method towards multi-source data |
CN106447152A (en) * | 2016-06-21 | 2017-02-22 | 中国南方电网有限责任公司电网技术研究中心 | Energy center-based electric-gas-heat system cooperative scheduling method and system |
CN106339772A (en) * | 2016-08-11 | 2017-01-18 | 清华大学 | Heat supply pipe network thermal storage efficiency-based thermal-electric joint optimal dispatching method |
Non-Patent Citations (2)
Title |
---|
刘桐彤: "《基于长短期记忆神经网络的短期负荷预测方法》", 《科技论坛》 * |
陈亮等: "《深度学习框架下LSTM网络在短期电力负荷预测中的应用》", 《电力信息与通信技术》 * |
Cited By (71)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108051035A (en) * | 2017-10-24 | 2018-05-18 | 清华大学 | The pipe network model recognition methods of neural network model based on gating cycle unit |
CN107909206B (en) * | 2017-11-15 | 2021-06-04 | 电子科技大学 | PM2.5 prediction method based on deep structure recurrent neural network |
CN107909206A (en) * | 2017-11-15 | 2018-04-13 | 电子科技大学 | A kind of PM2.5 Forecasting Methodologies based on deep structure Recognition with Recurrent Neural Network |
CN109936464B (en) * | 2017-12-15 | 2022-04-01 | 中国移动通信集团浙江有限公司 | Communication capacity open load prediction method and device based on multilayer LSTMRNN |
CN109936464A (en) * | 2017-12-15 | 2019-06-25 | 中国移动通信集团浙江有限公司 | The open load forecasting method of communication capacity based on multilayer LSTMRNN and device |
CN108319132A (en) * | 2018-01-11 | 2018-07-24 | 合肥工业大学 | Decision system and method for unmanned plane aerial opposition |
CN108319132B (en) * | 2018-01-11 | 2021-01-26 | 合肥工业大学 | Decision-making system and method for unmanned aerial vehicle air countermeasure |
CN108416690A (en) * | 2018-01-19 | 2018-08-17 | 中国矿业大学 | Load Forecasting based on depth LSTM neural networks |
CN110084357B (en) * | 2018-01-25 | 2024-02-27 | 三星电子株式会社 | Acceleration of long and short term memory networks via selective pruning |
CN110084357A (en) * | 2018-01-25 | 2019-08-02 | 三星电子株式会社 | Accelerate shot and long term memory network via selectivity trimming |
CN108648829A (en) * | 2018-04-11 | 2018-10-12 | 平安科技(深圳)有限公司 | Disease forecasting method and device, computer installation and readable storage medium storing program for executing |
CN108920888A (en) * | 2018-04-26 | 2018-11-30 | 浙江工业大学 | It is a kind of that autoclave reaction process discrimination method is continuously stirred based on deep neural network |
CN108920888B (en) * | 2018-04-26 | 2021-08-03 | 浙江工业大学 | Continuous stirred tank type reaction process identification method based on deep neural network |
CN108711847A (en) * | 2018-05-07 | 2018-10-26 | 国网山东省电力公司电力科学研究院 | A kind of short-term wind power forecast method based on coding and decoding shot and long term memory network |
CN108711847B (en) * | 2018-05-07 | 2019-06-04 | 国网山东省电力公司电力科学研究院 | A kind of short-term wind power forecast method based on coding and decoding shot and long term memory network |
CN108921341A (en) * | 2018-06-26 | 2018-11-30 | 国网山东省电力公司电力科学研究院 | A kind of steam power plant's short term thermal load forecasting method encoded certainly based on gate |
CN109242236A (en) * | 2018-07-05 | 2019-01-18 | 西安图迹信息科技有限公司 | Based on the PMU primary frequency modulation load forecasting method for being associated with full Connection Neural Network and LSTM |
CN109242236B (en) * | 2018-07-05 | 2021-04-20 | 西安图迹信息科技有限公司 | PMU primary frequency modulation load prediction method based on correlation full-connection neural network and LSTM |
CN109146162A (en) * | 2018-08-07 | 2019-01-04 | 河海大学 | A kind of probability wind speed forecasting method based on integrated Recognition with Recurrent Neural Network |
CN109146162B (en) * | 2018-08-07 | 2019-07-23 | 河海大学 | A kind of probability wind speed forecasting method based on integrated Recognition with Recurrent Neural Network |
CN109165727A (en) * | 2018-09-04 | 2019-01-08 | 成都品果科技有限公司 | A kind of data predication method based on Recognition with Recurrent Neural Network |
CN109325624A (en) * | 2018-09-28 | 2019-02-12 | 国网福建省电力有限公司 | A kind of monthly electric power demand forecasting method based on deep learning |
CN109002942A (en) * | 2018-09-28 | 2018-12-14 | 河南理工大学 | A kind of short-term load forecasting method based on stochastic neural net |
CN109063939A (en) * | 2018-11-01 | 2018-12-21 | 华中科技大学 | A kind of wind speed forecasting method and system based on neighborhood door shot and long term memory network |
CN109583565A (en) * | 2018-11-07 | 2019-04-05 | 河海大学 | Forecasting Flood method based on the long memory network in short-term of attention model |
CN109583565B (en) * | 2018-11-07 | 2022-08-26 | 河海大学 | Flood prediction method based on attention model long-time and short-time memory network |
CN109670629B (en) * | 2018-11-16 | 2021-09-07 | 浙江蓝卓工业互联网信息技术有限公司 | Coal-fired boiler thermal efficiency prediction method based on long-short term memory neural network |
CN109670629A (en) * | 2018-11-16 | 2019-04-23 | 浙江蓝卓工业互联网信息技术有限公司 | Coal-burning boiler thermal efficiency forecast method based on shot and long term Memory Neural Networks |
CN109253985B (en) * | 2018-11-28 | 2022-01-11 | 东北林业大学 | Method for identifying wood grade for koto panel by near infrared spectrum based on neural network |
CN109253985A (en) * | 2018-11-28 | 2019-01-22 | 东北林业大学 | The method of near infrared light spectrum discrimination Chinese zither panel grading of timber neural network based |
CN109492839A (en) * | 2019-01-17 | 2019-03-19 | 东华大学 | A kind of mineral hot furnace operating condition prediction technique based on RNN-LSTM network |
CN110007613A (en) * | 2019-04-10 | 2019-07-12 | 北方工业大学 | Warming prediction method and system for heat storage type electric heater and storage medium |
CN110007613B (en) * | 2019-04-10 | 2022-04-29 | 北方工业大学 | Warming prediction method and system for heat storage type electric heater and storage medium |
CN110135634A (en) * | 2019-04-29 | 2019-08-16 | 广东电网有限责任公司电网规划研究中心 | Long-medium term power load forecasting device |
CN110381524A (en) * | 2019-07-15 | 2019-10-25 | 安徽理工大学 | The mobile flow on-line prediction method of large scene based on Bi-LSTM, system and storage medium |
CN110381524B (en) * | 2019-07-15 | 2022-12-20 | 安徽理工大学 | Bi-LSTM-based large scene mobile flow online prediction method, system and storage medium |
CN110363289A (en) * | 2019-07-17 | 2019-10-22 | 山东浪潮人工智能研究院有限公司 | A kind of industrial steam amount prediction technique and device based on machine learning |
CN110428053A (en) * | 2019-08-08 | 2019-11-08 | 东北大学 | A kind of steam produces the dynamic prediction method of consumption |
CN110705743B (en) * | 2019-08-23 | 2023-08-18 | 国网浙江省电力有限公司 | New energy consumption electric quantity prediction method based on long-term and short-term memory neural network |
CN110705743A (en) * | 2019-08-23 | 2020-01-17 | 国网浙江省电力有限公司 | New energy consumption electric quantity prediction method based on long-term and short-term memory neural network |
CN110619389A (en) * | 2019-09-23 | 2019-12-27 | 山东大学 | Load prediction method and system of combined cooling heating and power system based on LSTM-RNN |
CN111222677A (en) * | 2019-10-22 | 2020-06-02 | 浙江运达风电股份有限公司 | Wind speed prediction method and system based on long-short term memory time neural network |
CN112712189A (en) * | 2019-10-25 | 2021-04-27 | 北京市热力集团有限责任公司 | Heat supply demand load prediction method |
CN111353631A (en) * | 2019-11-26 | 2020-06-30 | 国网山东省电力公司电力科学研究院 | Thermal power plant condenser vacuum degree prediction method based on multilayer LSTM |
CN110889494A (en) * | 2019-11-29 | 2020-03-17 | 北京龙田华远科技有限公司 | Coal mining machine positioning method and device |
CN110991761B (en) * | 2019-12-13 | 2022-06-28 | 新奥数能科技有限公司 | Heat supply load prediction method and device |
CN110991761A (en) * | 2019-12-13 | 2020-04-10 | 新奥数能科技有限公司 | Heat supply load prediction method and device |
CN111160659A (en) * | 2019-12-31 | 2020-05-15 | 国家电网公司西南分部 | Power load prediction method considering temperature fuzzification |
CN111275169A (en) * | 2020-01-17 | 2020-06-12 | 北京石油化工学院 | Method for predicting building thermal load in short time |
CN111613338A (en) * | 2020-05-19 | 2020-09-01 | 中国电子科技集团公司第三十八研究所 | Method and system for constructing spike-slow complex wave detection model |
CN111738520A (en) * | 2020-06-24 | 2020-10-02 | 中国电子科技集团公司第二十八研究所 | System load prediction method fusing isolated forest and long-short term memory network |
CN111895986A (en) * | 2020-06-30 | 2020-11-06 | 西安建筑科技大学 | MEMS gyroscope original output signal noise reduction method based on LSTM neural network |
CN111861013B (en) * | 2020-07-23 | 2023-09-08 | 长沙理工大学 | Power load prediction method and device |
CN111861013A (en) * | 2020-07-23 | 2020-10-30 | 长沙理工大学 | Power load prediction method and device |
CN111932015A (en) * | 2020-08-12 | 2020-11-13 | 武汉中电节能有限公司 | Method and system for predicting cold and heat load of regional cooling and heating |
CN112598222A (en) * | 2020-11-30 | 2021-04-02 | 河南汇祥通信设备有限公司 | Comprehensive pipe rack operation and maintenance prediction method based on long-time and short-time memory cyclic neural network |
CN112832744A (en) * | 2021-01-07 | 2021-05-25 | 中国石油大学(华东) | Pumping unit well pump detection period prediction method based on LSTM neural network |
CN112733452B (en) * | 2021-01-13 | 2024-03-29 | 北京嘀嘀无限科技发展有限公司 | Track prediction method, track prediction device, electronic equipment and readable storage medium |
CN112733452A (en) * | 2021-01-13 | 2021-04-30 | 北京嘀嘀无限科技发展有限公司 | Trajectory prediction method and apparatus, electronic device and readable storage medium |
CN112733457A (en) * | 2021-01-18 | 2021-04-30 | 武汉大学 | Load electricity utilization characteristic modeling method for improving double-layer long-short term memory network |
CN112733457B (en) * | 2021-01-18 | 2022-03-15 | 武汉大学 | Load electricity utilization characteristic modeling method for improving double-layer long-short term memory network |
CN113623719B (en) * | 2021-06-23 | 2022-08-19 | 国家电投集团东北电力有限公司大连开热分公司 | Heat exchange station prediction control method based on effective room temperature detection |
CN113623719A (en) * | 2021-06-23 | 2021-11-09 | 国家电投集团东北电力有限公司大连开热分公司 | Heat exchange station prediction control method based on effective room temperature detection |
CN113420508A (en) * | 2021-07-07 | 2021-09-21 | 华北电力大学 | Unit combination calculation method based on LSTM |
CN113420508B (en) * | 2021-07-07 | 2024-02-27 | 华北电力大学 | Unit combination calculation method based on LSTM |
CN114548539A (en) * | 2022-02-10 | 2022-05-27 | 中海油信息科技有限公司 | Method, device, equipment and medium for predicting turbine energy consumption of compressor of circulating water system |
CN114548539B (en) * | 2022-02-10 | 2024-08-27 | 中海油信息科技有限公司 | Turbine energy consumption prediction method, device, equipment and medium for circulating water system compressor |
CN116361709A (en) * | 2023-03-31 | 2023-06-30 | 山东省计算中心(国家超级计算济南中心) | Self-adaptive power load identification method and device |
CN116361709B (en) * | 2023-03-31 | 2023-10-31 | 山东省计算中心(国家超级计算济南中心) | Self-adaptive power load identification method and device |
CN116362139B (en) * | 2023-04-14 | 2024-01-30 | 应急管理部沈阳消防研究所 | Multi-parameter fire detection method based on hierarchical long-short-time memory network |
CN116362139A (en) * | 2023-04-14 | 2023-06-30 | 应急管理部沈阳消防研究所 | Multi-parameter fire detection method based on hierarchical long-short-time memory network |
Also Published As
Publication number | Publication date |
---|---|
CN107239859B (en) | 2018-05-08 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN107239859A (en) | The heating load forecasting method of Recognition with Recurrent Neural Network is remembered based on series connection shot and long term | |
CN103390116B (en) | Use the photovoltaic power station power generation power forecasting method of stepping mode | |
CN113112077B (en) | HVAC control system based on multi-step prediction deep reinforcement learning algorithm | |
CN104392394B (en) | A kind of detection method of micro-capacitance sensor energy storage nargin | |
CN106529719A (en) | Method of predicting wind power of wind speed fusion based on particle swarm optimization algorithm | |
CN113489015B (en) | Multi-time-scale reactive voltage control method for power distribution network based on reinforcement learning | |
CN107609667A (en) | Heating load forecasting method and system based on Box_cox conversion and UFCNN | |
CN108303898B (en) | Intelligent scheduling method of novel solar-air energy coupling cold and heat cogeneration system | |
CN110866640A (en) | Power load prediction method based on deep neural network | |
Chitsazan et al. | Wind speed forecasting using an echo state network with nonlinear output functions | |
CN109214565A (en) | A kind of subregion system loading prediction technique suitable for the scheduling of bulk power grid subregion | |
Ahmad et al. | A bio-inspired heuristic algorithm for solving optimal power flow problem in hybrid power system | |
CN107453396A (en) | A kind of Multiobjective Optimal Operation method that distributed photovoltaic power is contributed | |
CN106980910A (en) | Long Electric Power Load calculating system and method | |
CN110287509A (en) | Flexibility analysis and the fault of construction diagnosis of municipal heating systems and localization method and system | |
CN106295857A (en) | A kind of ultrashort-term wind power prediction method | |
CN115907350B (en) | Energy management method and system for building integrated energy system | |
CN103530700B (en) | Urban distribution network saturation loading Comprehensive Prediction Method | |
CN105633950B (en) | A kind of probabilistic multiple target Random-fuzzy Dynamic Optimal Power Flow Problem method for solving of consideration wind-powered electricity generation injection | |
Yang et al. | A novel exhaust gas temperature prediction method of hot blast stove | |
CN107895215A (en) | The prediction of community network influence power and maximization System and method for based on neutral net | |
Nainwal et al. | Comparison of multi linear regression and artificial neural network to predict the energy consumption of residential buildings | |
CN107423811A (en) | The streamflow change attribution recognition methods combined based on BP artificial neural networks and Scene Simulation | |
CN106779248B (en) | Electric power system economic dispatching decentralized Q method based on extreme transfer learning | |
Haifeng et al. | An adaptive BP-network approach to short term load forecasting |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant | ||
CB03 | Change of inventor or designer information |
Inventor after: Lu Kuan Inventor after: Han Yingkun Inventor after: Li Kelei Inventor after: Gao Song Inventor after: Yu Qingbin Inventor after: Lin Bo Inventor after: Yan Qing Inventor after: Cheng Yan Inventor after: Zhang Yong Inventor after: Ma Changhui Inventor after: Li Guanglei Inventor after: Su Jianjun Inventor after: Li Honghai Inventor after: Luan Yinglin Inventor after: Zhao Cuan Inventor after: Xu Nan Inventor after: Zhu Zijian Inventor after: Zhao Yan Inventor after: Bi Zhenfu Inventor after: Lang Chengyu Inventor after: Meng Xiangrong Inventor after: Sun Wenxue Inventor after: Pang Xiangkun Inventor after: Wang Wenkuan Inventor before: Lu Kuan Inventor before: Han Yingkun Inventor before: Pang Xiangkun Inventor before: Li Guanglei Inventor before: Zhang Yong Inventor before: Wang Shibai Inventor before: Su Jianjun Inventor before: Zhao Yan Inventor before: Bi Zhenfu Inventor before: Lang Chengyu Inventor before: Meng Xiangrong Inventor before: Ma Changhui Inventor before: Wang Wenkuan Inventor before: Sun Wenxue |
|
CB03 | Change of inventor or designer information |