{"id":4870,"date":"2020-05-21T10:57:27","date_gmt":"2020-05-21T16:57:27","guid":{"rendered":"https:\/\/novahubcenter.com\/?p=4870"},"modified":"2020-05-21T10:57:27","modified_gmt":"2020-05-21T16:57:27","slug":"is-machine-learning-a-solution-to-the-energetic-transition","status":"publish","type":"post","link":"https:\/\/novahubcenter.com\/es\/is-machine-learning-a-solution-to-the-energetic-transition","title":{"rendered":"\u00a0IS MACHINE LEARNING A SOLUTION TO THE ENERGETIC TRANSITION?"},"content":{"rendered":"[vc_row][vc_column][tm_spacer size=\u00bblg:40″][tm_heading tag=\u00bbdiv\u00bb custom_google_font=\u00bb\u00bb google_fonts=\u00bbfont_family:Poppins%3A300%2Cregular%2C500%2C600%2C700|font_style:400%20regular%3A400%3Anormal\u00bb text_color=\u00bbcustom\u00bb custom_text_color=\u00bb#4e4e4e\u00bb font_size=\u00bblg:16″]Firstly, it is important to differentiate Machine Learning<\/mark><\/strong> and Artificial Intelligence<\/mark><\/strong>.[\/tm_heading][tm_spacer size=\u00bblg:45″][tm_heading tag=\u00bbdiv\u00bb custom_google_font=\u00bb\u00bb google_fonts=\u00bbfont_family:Poppins%3A300%2Cregular%2C500%2C600%2C700|font_style:400%20regular%3A400%3Anormal\u00bb text_color=\u00bbcustom\u00bb custom_text_color=\u00bb#4e4e4e\u00bb font_size=\u00bblg:16″]Machine Learning<\/mark><\/strong> is a method that relies on the ability of computers to learn without being programmed for the task. The objective is to analyze data and highlight recurring patterns. [\/tm_heading][tm_spacer size=\u00bblg:25″][tm_heading tag=\u00bbdiv\u00bb custom_google_font=\u00bb\u00bb google_fonts=\u00bbfont_family:Poppins%3A300%2Cregular%2C500%2C600%2C700|font_style:400%20regular%3A400%3Anormal\u00bb text_color=\u00bbcustom\u00bb custom_text_color=\u00bb#4e4e4e\u00bb font_size=\u00bblg:16″]The strength of the Machine Learning<\/mark><\/strong> is that this data does not need human processing but can be automatically processed by the machine. For example, if you happen to interact on social networks by liking or commenting on a recurring post of a friend, the machine learning program will often make appear the posts of this friend in your news feed.[\/tm_heading][tm_spacer size=\u00bblg:45″][tm_heading tag=\u00bbdiv\u00bb custom_google_font=\u00bb\u00bb google_fonts=\u00bbfont_family:Poppins%3A300%2Cregular%2C500%2C600%2C700|font_style:400%20regular%3A400%3Anormal\u00bb text_color=\u00bbcustom\u00bb custom_text_color=\u00bb#4e4e4e\u00bb font_size=\u00bblg:16″]Artificial Intelligence<\/mark><\/strong> is a broader field: it is a science where machine learning is a sub-domain. The objective is to simulate human intelligence in a computer that will act and think like a human.[\/tm_heading][tm_spacer size=\u00bblg:45″][tm_heading tag=\u00bbdiv\u00bb custom_google_font=\u00bb\u00bb google_fonts=\u00bbfont_family:Poppins%3A300%2Cregular%2C500%2C600%2C700|font_style:400%20regular%3A400%3Anormal\u00bb text_color=\u00bbcustom\u00bb custom_text_color=\u00bb#4e4e4e\u00bb font_size=\u00bblg:16″]Now that you have a general idea, we are going to look at the application of machine learning to combat COVID-19;[\/tm_heading][tm_spacer size=\u00bblg:45″][tm_heading tag=\u00bbdiv\u00bb custom_google_font=\u00bb\u00bb google_fonts=\u00bbfont_family:Poppins%3A300%2Cregular%2C500%2C600%2C700|font_style:400%20regular%3A400%3Anormal\u00bb text_color=\u00bbcustom\u00bb custom_text_color=\u00bb#4e4e4e\u00bb font_size=\u00bblg:16″]The impact of Covid-19 on Greentech has been seen in one of our articles (Greentech & Healththech: the next investment<\/mark><\/strong><\/a>) and in this one we will see how the Machine Learning<\/mark><\/strong> can help to counter climate change. [\/tm_heading][tm_spacer size=\u00bblg:45″][tm_heading tag=\u00bbdiv\u00bb custom_google_font=\u00bb\u00bb google_fonts=\u00bbfont_family:Poppins%3A300%2Cregular%2C500%2C600%2C700|font_style:400%20regular%3A400%3Anormal\u00bb text_color=\u00bbcustom\u00bb custom_text_color=\u00bb#4e4e4e\u00bb font_size=\u00bblg:16″]The growing momentum of actions to fight against global warming has been slowed down by the coronavirus crisis and the economic pressure on companies may sweep away the priority on energy transition. The dilemma is to find a balance between a rapid and effective recovery of economic activity and avoiding a return to a \u00abglory days\u00bb where little attention were paid to the environment.[\/tm_heading][tm_spacer size=\u00bblg:25″][tm_heading tag=\u00bbdiv\u00bb custom_google_font=\u00bb\u00bb google_fonts=\u00bbfont_family:Poppins%3A300%2Cregular%2C500%2C600%2C700|font_style:400%20regular%3A400%3Anormal\u00bb text_color=\u00bbcustom\u00bb custom_text_color=\u00bb#4e4e4e\u00bb font_size=\u00bblg:16″]For example, Machine Learning can be used in predicting the consumption of the electrical system. In France, for example, since lockdown started, electricity consumption has decreased by 20%, according to RTE<\/mark><\/strong><\/a>, due to the complete or partial shutdowns of companies’ activities.[\/tm_heading][tm_spacer size=\u00bblg:35″][tm_heading tag=\u00bbdiv\u00bb custom_google_font=\u00bb\u00bb google_fonts=\u00bbfont_family:Poppins%3A300%2Cregular%2C500%2C600%2C700|font_style:400%20regular%3A400%3Anormal\u00bb text_color=\u00bbcustom\u00bb custom_text_color=\u00bb#4e4e4e\u00bb font_size=\u00bblg:16″]Similarly, England has seen a decrease of its consumption between 15 and 20%. It is here that Machine Learning can be developed to forecast this change in consumption and give electricity suppliers the possibility to readjust their electricity production strategy.[\/tm_heading][tm_spacer size=\u00bblg:35″][tm_heading tag=\u00bbdiv\u00bb custom_google_font=\u00bb\u00bb google_fonts=\u00bbfont_family:Poppins%3A300%2Cregular%2C500%2C600%2C700|font_style:400%20regular%3A400%3Anormal\u00bb text_color=\u00bbcustom\u00bb custom_text_color=\u00bb#4e4e4e\u00bb font_size=\u00bblg:16″]Or the optimization of energy consumption with the much greater use of the internet. On average, telecom companies recorded an increase of 30% to 45% of their traffic according to Nokia<\/mark><\/strong>. The use of videoconferencing tools such as Skype or Zoom are up 300% in the US. Telecommunication network giants can use Machine Learning<\/mark><\/strong> to optimize energy consumption in their data center and be able to meet international demand.[\/tm_heading][tm_spacer size=\u00bblg:45″][tm_heading tag=\u00bbdiv\u00bb custom_google_font=\u00bb\u00bb google_fonts=\u00bbfont_family:Poppins%3A300%2Cregular%2C500%2C600%2C700|font_style:400%20regular%3A400%3Anormal\u00bb text_color=\u00bbcustom\u00bb custom_text_color=\u00bb#4e4e4e\u00bb font_size=\u00bblg:16″]You have to understand that Machine Learning<\/mark><\/strong> is a very versatile technology in its use and can be applied in all sectors and areas of activity. It\u2019s a resource that can obviously be synergized with other technologies such as Blockchain<\/mark><\/strong> Augmented\/Virtual Reality<\/mark><\/strong>, or IOT<\/mark><\/strong> . We will discuss these synergies in a future article. To be continued[\/tm_heading][\/vc_column][\/vc_row]\n","protected":false},"excerpt":{"rendered":"

[vc_row][vc_column][tm_spacer size=\u00bblg:40″][tm_heading tag=\u00bbdiv\u00bb custom_google_font=\u00bb\u00bb google_fonts=\u00bbfont_family:Poppins%3A300%2Cregular%2C500%2C600%2C700|font_style:400%20regular%3A400%3Anormal\u00bb text_color=\u00bbcustom\u00bb custom_text_color=\u00bb#4e4e4e\u00bb font_size=\u00bblg:16″]Firstly, it is important to differentiate Machine Learning and Artificial Intelligence.[\/tm_heading][tm_spacer size=\u00bblg:45″][tm_heading tag=\u00bbdiv\u00bb custom_google_font=\u00bb\u00bb google_fonts=\u00bbfont_family:Poppins%3A300%2Cregular%2C500%2C600%2C700|font_style:400%20regular%3A400%3Anormal\u00bb text_color=\u00bbcustom\u00bb custom_text_color=\u00bb#4e4e4e\u00bb font_size=\u00bblg:16″]Machine Learning is a method that relies on the ability of computers to learn without being programmed for the task. The objective is to analyze data and highlight recurring patterns. [\/tm_heading][tm_spacer size=\u00bblg:25″][tm_heading tag=\u00bbdiv\u00bb custom_google_font=\u00bb\u00bb google_fonts=\u00bbfont_family:Poppins%3A300%2Cregular%2C500%2C600%2C700|font_style:400%20regular%3A400%3Anormal\u00bb text_color=\u00bbcustom\u00bb custom_text_color=\u00bb#4e4e4e\u00bb font_size=\u00bblg:16″]The strength of the Machine Learning is that this data does not need human processing but can be automatically processed by the machine. For example, if you happen to interact on social networks by liking or commenting on a recurring post of a friend, the machine learning program will often make appear the posts of this friend in your news feed.[\/tm_heading][tm_spacer size=\u00bblg:45″][tm_heading tag=\u00bbdiv\u00bb custom_google_font=\u00bb\u00bb google_fonts=\u00bbfont_family:Poppins%3A300%2Cregular%2C500%2C600%2C700|font_style:400%20regular%3A400%3Anormal\u00bb text_color=\u00bbcustom\u00bb custom_text_color=\u00bb#4e4e4e\u00bb font_size=\u00bblg:16″]Artificial Intelligence is a broader field: it is a science where machine learning is a sub-domain. The objective is to simulate human intelligence in a computer that will act and think like a human.[\/tm_heading][tm_spacer size=\u00bblg:45″][tm_heading tag=\u00bbdiv\u00bb custom_google_font=\u00bb\u00bb google_fonts=\u00bbfont_family:Poppins%3A300%2Cregular%2C500%2C600%2C700|font_style:400%20regular%3A400%3Anormal\u00bb text_color=\u00bbcustom\u00bb custom_text_color=\u00bb#4e4e4e\u00bb font_size=\u00bblg:16″]Now that you have a general idea, we are going to look at the application of machine learning to combat COVID-19;[\/tm_heading][tm_spacer size=\u00bblg:45″][tm_heading tag=\u00bbdiv\u00bb custom_google_font=\u00bb\u00bb google_fonts=\u00bbfont_family:Poppins%3A300%2Cregular%2C500%2C600%2C700|font_style:400%20regular%3A400%3Anormal\u00bb text_color=\u00bbcustom\u00bb custom_text_color=\u00bb#4e4e4e\u00bb font_size=\u00bblg:16″]The impact of Covid-19 on Greentech has been seen in one of our articles (Greentech & Healththech: the next investment) and in this one we will see how the Machine Learning can help to counter climate change. [\/tm_heading][tm_spacer size=\u00bblg:45″][tm_heading tag=\u00bbdiv\u00bb custom_google_font=\u00bb\u00bb google_fonts=\u00bbfont_family:Poppins%3A300%2Cregular%2C500%2C600%2C700|font_style:400%20regular%3A400%3Anormal\u00bb text_color=\u00bbcustom\u00bb custom_text_color=\u00bb#4e4e4e\u00bb font_size=\u00bblg:16″]The growing momentum of actions to fight against global warming has been slowed down by the coronavirus crisis and the economic pressure on companies may sweep away the priority on energy transition. The dilemma is to find a balance between a rapid and effective recovery of economic activity and avoiding a return to a \u00abglory days\u00bb where little attention were paid to the environment.[\/tm_heading][tm_spacer size=\u00bblg:25″][tm_heading tag=\u00bbdiv\u00bb custom_google_font=\u00bb\u00bb google_fonts=\u00bbfont_family:Poppins%3A300%2Cregular%2C500%2C600%2C700|font_style:400%20regular%3A400%3Anormal\u00bb text_color=\u00bbcustom\u00bb custom_text_color=\u00bb#4e4e4e\u00bb font_size=\u00bblg:16″]For example, Machine Learning can be used in predicting the consumption of the electrical system. In France, for example, since lockdown started, electricity consumption has decreased by 20%, according to RTE, due to the complete or partial shutdowns of companies’ activities.[\/tm_heading][tm_spacer size=\u00bblg:35″][tm_heading tag=\u00bbdiv\u00bb custom_google_font=\u00bb\u00bb google_fonts=\u00bbfont_family:Poppins%3A300%2Cregular%2C500%2C600%2C700|font_style:400%20regular%3A400%3Anormal\u00bb text_color=\u00bbcustom\u00bb custom_text_color=\u00bb#4e4e4e\u00bb font_size=\u00bblg:16″]Similarly, England has seen a decrease of its consumption between 15 and 20%. It is here that Machine Learning can be developed to forecast this change in consumption and give electricity suppliers the possibility to readjust their electricity production strategy.[\/tm_heading][tm_spacer size=\u00bblg:35″][tm_heading tag=\u00bbdiv\u00bb custom_google_font=\u00bb\u00bb google_fonts=\u00bbfont_family:Poppins%3A300%2Cregular%2C500%2C600%2C700|font_style:400%20regular%3A400%3Anormal\u00bb text_color=\u00bbcustom\u00bb custom_text_color=\u00bb#4e4e4e\u00bb font_size=\u00bblg:16″]Or the optimization of energy consumption with the much greater use of the internet. On average, telecom companies recorded an increase of 30% to 45% of their traffic according to Nokia. The use of videoconferencing tools such as Skype or Zoom are up 300% in the US. Telecommunication network giants can use Machine Learning to optimize energy consumption in their data center and be able to meet international demand.[\/tm_heading][tm_spacer size=\u00bblg:45″][tm_heading tag=\u00bbdiv\u00bb custom_google_font=\u00bb\u00bb google_fonts=\u00bbfont_family:Poppins%3A300%2Cregular%2C500%2C600%2C700|font_style:400%20regular%3A400%3Anormal\u00bb text_color=\u00bbcustom\u00bb custom_text_color=\u00bb#4e4e4e\u00bb font_size=\u00bblg:16″]You have to understand that Machine Learning is a very versatile technology in its use and can be applied in all sectors and areas of activity. It\u2019s a resource that can obviously be synergized with other technologies such as Blockchain Augmented\/Virtual Reality, or IOT . We will discuss these synergies in a future article. To be continued[\/tm_heading][\/vc_column][\/vc_row]<\/p>\n","protected":false},"author":1,"featured_media":4871,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[56,71,49,61],"tags":[],"yoast_head":"\n\u00a0IS MACHINE LEARNING A SOLUTION TO THE ENERGETIC TRANSITION? - Novahub Center<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/novahubcenter.com\/is-machine-learning-a-solution-to-the-energetic-transition\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u00a0IS MACHINE LEARNING A SOLUTION TO THE ENERGETIC TRANSITION? - Novahub Center\" \/>\n<meta property=\"og:description\" content=\"[vc_row][vc_column][tm_spacer size=\u00bblg:40″][tm_heading tag=\u00bbdiv\u00bb custom_google_font=\u00bb\u00bb google_fonts=\u00bbfont_family:Poppins%3A300%2Cregular%2C500%2C600%2C700|font_style:400%20regular%3A400%3Anormal\u00bb text_color=\u00bbcustom\u00bb custom_text_color=\u00bb#4e4e4e\u00bb font_size=\u00bblg:16″]Firstly, it is important to differentiate Machine Learning and Artificial Intelligence.[\/tm_heading][tm_spacer size=\u00bblg:45″][tm_heading tag=\u00bbdiv\u00bb custom_google_font=\u00bb\u00bb google_fonts=\u00bbfont_family:Poppins%3A300%2Cregular%2C500%2C600%2C700|font_style:400%20regular%3A400%3Anormal\u00bb text_color=\u00bbcustom\u00bb custom_text_color=\u00bb#4e4e4e\u00bb font_size=\u00bblg:16″]Machine Learning is a method that relies on the ability of computers to learn without being programmed for the task. The objective is to analyze data and highlight recurring patterns. [\/tm_heading][tm_spacer size=\u00bblg:25″][tm_heading tag=\u00bbdiv\u00bb custom_google_font=\u00bb\u00bb google_fonts=\u00bbfont_family:Poppins%3A300%2Cregular%2C500%2C600%2C700|font_style:400%20regular%3A400%3Anormal\u00bb text_color=\u00bbcustom\u00bb custom_text_color=\u00bb#4e4e4e\u00bb font_size=\u00bblg:16″]The strength of the Machine Learning is that this data does not need human processing but can be automatically processed by the machine. For example, if you happen to interact on social networks by liking or commenting on a recurring post of a friend, the machine learning program will often make appear the posts of this friend in your news feed.[\/tm_heading][tm_spacer size=\u00bblg:45″][tm_heading tag=\u00bbdiv\u00bb custom_google_font=\u00bb\u00bb google_fonts=\u00bbfont_family:Poppins%3A300%2Cregular%2C500%2C600%2C700|font_style:400%20regular%3A400%3Anormal\u00bb text_color=\u00bbcustom\u00bb custom_text_color=\u00bb#4e4e4e\u00bb font_size=\u00bblg:16″]Artificial Intelligence is a broader field: it is a science where machine learning is a sub-domain. The objective is to simulate human intelligence in a computer that will act and think like a human.[\/tm_heading][tm_spacer size=\u00bblg:45″][tm_heading tag=\u00bbdiv\u00bb custom_google_font=\u00bb\u00bb google_fonts=\u00bbfont_family:Poppins%3A300%2Cregular%2C500%2C600%2C700|font_style:400%20regular%3A400%3Anormal\u00bb text_color=\u00bbcustom\u00bb custom_text_color=\u00bb#4e4e4e\u00bb font_size=\u00bblg:16″]Now that you have a general idea, we are going to look at the application of machine learning to combat COVID-19;[\/tm_heading][tm_spacer size=\u00bblg:45″][tm_heading tag=\u00bbdiv\u00bb custom_google_font=\u00bb\u00bb google_fonts=\u00bbfont_family:Poppins%3A300%2Cregular%2C500%2C600%2C700|font_style:400%20regular%3A400%3Anormal\u00bb text_color=\u00bbcustom\u00bb custom_text_color=\u00bb#4e4e4e\u00bb font_size=\u00bblg:16″]The impact of Covid-19 on Greentech has been seen in one of our articles (Greentech & Healththech: the next investment) and in this one we will see how the Machine Learning can help to counter climate change. [\/tm_heading][tm_spacer size=\u00bblg:45″][tm_heading tag=\u00bbdiv\u00bb custom_google_font=\u00bb\u00bb google_fonts=\u00bbfont_family:Poppins%3A300%2Cregular%2C500%2C600%2C700|font_style:400%20regular%3A400%3Anormal\u00bb text_color=\u00bbcustom\u00bb custom_text_color=\u00bb#4e4e4e\u00bb font_size=\u00bblg:16″]The growing momentum of actions to fight against global warming has been slowed down by the coronavirus crisis and the economic pressure on companies may sweep away the priority on energy transition. The dilemma is to find a balance between a rapid and effective recovery of economic activity and avoiding a return to a \u00abglory days\u00bb where little attention were paid to the environment.[\/tm_heading][tm_spacer size=\u00bblg:25″][tm_heading tag=\u00bbdiv\u00bb custom_google_font=\u00bb\u00bb google_fonts=\u00bbfont_family:Poppins%3A300%2Cregular%2C500%2C600%2C700|font_style:400%20regular%3A400%3Anormal\u00bb text_color=\u00bbcustom\u00bb custom_text_color=\u00bb#4e4e4e\u00bb font_size=\u00bblg:16″]For example, Machine Learning can be used in predicting the consumption of the electrical system. In France, for example, since lockdown started, electricity consumption has decreased by 20%, according to RTE, due to the complete or partial shutdowns of companies’ activities.[\/tm_heading][tm_spacer size=\u00bblg:35″][tm_heading tag=\u00bbdiv\u00bb custom_google_font=\u00bb\u00bb google_fonts=\u00bbfont_family:Poppins%3A300%2Cregular%2C500%2C600%2C700|font_style:400%20regular%3A400%3Anormal\u00bb text_color=\u00bbcustom\u00bb custom_text_color=\u00bb#4e4e4e\u00bb font_size=\u00bblg:16″]Similarly, England has seen a decrease of its consumption between 15 and 20%. It is here that Machine Learning can be developed to forecast this change in consumption and give electricity suppliers the possibility to readjust their electricity production strategy.[\/tm_heading][tm_spacer size=\u00bblg:35″][tm_heading tag=\u00bbdiv\u00bb custom_google_font=\u00bb\u00bb google_fonts=\u00bbfont_family:Poppins%3A300%2Cregular%2C500%2C600%2C700|font_style:400%20regular%3A400%3Anormal\u00bb text_color=\u00bbcustom\u00bb custom_text_color=\u00bb#4e4e4e\u00bb font_size=\u00bblg:16″]Or the optimization of energy consumption with the much greater use of the internet. On average, telecom companies recorded an increase of 30% to 45% of their traffic according to Nokia. The use of videoconferencing tools such as Skype or Zoom are up 300% in the US. Telecommunication network giants can use Machine Learning to optimize energy consumption in their data center and be able to meet international demand.[\/tm_heading][tm_spacer size=\u00bblg:45″][tm_heading tag=\u00bbdiv\u00bb custom_google_font=\u00bb\u00bb google_fonts=\u00bbfont_family:Poppins%3A300%2Cregular%2C500%2C600%2C700|font_style:400%20regular%3A400%3Anormal\u00bb text_color=\u00bbcustom\u00bb custom_text_color=\u00bb#4e4e4e\u00bb font_size=\u00bblg:16″]You have to understand that Machine Learning is a very versatile technology in its use and can be applied in all sectors and areas of activity. It\u2019s a resource that can obviously be synergized with other technologies such as Blockchain Augmented\/Virtual Reality, or IOT . We will discuss these synergies in a future article. To be continued[\/tm_heading][\/vc_column][\/vc_row]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/novahubcenter.com\/is-machine-learning-a-solution-to-the-energetic-transition\" \/>\n<meta property=\"og:site_name\" content=\"Novahub Center\" \/>\n<meta property=\"article:published_time\" content=\"2020-05-21T16:57:27+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/novahubcenter.com\/wp-content\/uploads\/2020\/05\/v478-taus-24a-technology_1-e1590079421570.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"550\" \/>\n\t<meta property=\"og:image:height\" content=\"366\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Novahub\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Escrito por\" \/>\n\t<meta name=\"twitter:data1\" content=\"Novahub\" \/>\n\t<meta name=\"twitter:label2\" content=\"Tiempo de lectura\" \/>\n\t<meta name=\"twitter:data2\" content=\"5 minutos\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/novahubcenter.com\/is-machine-learning-a-solution-to-the-energetic-transition\",\"url\":\"https:\/\/novahubcenter.com\/is-machine-learning-a-solution-to-the-energetic-transition\",\"name\":\"\u00a0IS MACHINE LEARNING A SOLUTION TO THE ENERGETIC TRANSITION? - Novahub Center\",\"isPartOf\":{\"@id\":\"https:\/\/novahubcenter.com\/#website\"},\"datePublished\":\"2020-05-21T16:57:27+00:00\",\"dateModified\":\"2020-05-21T16:57:27+00:00\",\"author\":{\"@id\":\"https:\/\/novahubcenter.com\/#\/schema\/person\/30b8d5bf9073bea693d6ce011dfe4552\"},\"breadcrumb\":{\"@id\":\"https:\/\/novahubcenter.com\/is-machine-learning-a-solution-to-the-energetic-transition#breadcrumb\"},\"inLanguage\":\"es\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/novahubcenter.com\/is-machine-learning-a-solution-to-the-energetic-transition\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/novahubcenter.com\/is-machine-learning-a-solution-to-the-energetic-transition#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/novahubcenter.com\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"\u00a0IS MACHINE LEARNING A SOLUTION TO THE ENERGETIC TRANSITION?\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/novahubcenter.com\/#website\",\"url\":\"https:\/\/novahubcenter.com\/\",\"name\":\"Novahub Center\",\"description\":\"International Accelerator\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/novahubcenter.com\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"es\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/novahubcenter.com\/#\/schema\/person\/30b8d5bf9073bea693d6ce011dfe4552\",\"name\":\"Novahub\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"es\",\"@id\":\"https:\/\/novahubcenter.com\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/ba93b2b0eea9302249509cad48a42480?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/ba93b2b0eea9302249509cad48a42480?s=96&d=mm&r=g\",\"caption\":\"Novahub\"},\"url\":\"https:\/\/novahubcenter.com\/es\/author\/samuel\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"\u00a0IS MACHINE LEARNING A SOLUTION TO THE ENERGETIC TRANSITION? - Novahub Center","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/novahubcenter.com\/is-machine-learning-a-solution-to-the-energetic-transition","og_locale":"es_ES","og_type":"article","og_title":"\u00a0IS MACHINE LEARNING A SOLUTION TO THE ENERGETIC TRANSITION? - Novahub Center","og_description":"[vc_row][vc_column][tm_spacer size=\u00bblg:40″][tm_heading tag=\u00bbdiv\u00bb custom_google_font=\u00bb\u00bb google_fonts=\u00bbfont_family:Poppins%3A300%2Cregular%2C500%2C600%2C700|font_style:400%20regular%3A400%3Anormal\u00bb text_color=\u00bbcustom\u00bb custom_text_color=\u00bb#4e4e4e\u00bb font_size=\u00bblg:16″]Firstly, it is important to differentiate Machine Learning and Artificial Intelligence.[\/tm_heading][tm_spacer size=\u00bblg:45″][tm_heading tag=\u00bbdiv\u00bb custom_google_font=\u00bb\u00bb google_fonts=\u00bbfont_family:Poppins%3A300%2Cregular%2C500%2C600%2C700|font_style:400%20regular%3A400%3Anormal\u00bb text_color=\u00bbcustom\u00bb custom_text_color=\u00bb#4e4e4e\u00bb font_size=\u00bblg:16″]Machine Learning is a method that relies on the ability of computers to learn without being programmed for the task. The objective is to analyze data and highlight recurring patterns. [\/tm_heading][tm_spacer size=\u00bblg:25″][tm_heading tag=\u00bbdiv\u00bb custom_google_font=\u00bb\u00bb google_fonts=\u00bbfont_family:Poppins%3A300%2Cregular%2C500%2C600%2C700|font_style:400%20regular%3A400%3Anormal\u00bb text_color=\u00bbcustom\u00bb custom_text_color=\u00bb#4e4e4e\u00bb font_size=\u00bblg:16″]The strength of the Machine Learning is that this data does not need human processing but can be automatically processed by the machine. For example, if you happen to interact on social networks by liking or commenting on a recurring post of a friend, the machine learning program will often make appear the posts of this friend in your news feed.[\/tm_heading][tm_spacer size=\u00bblg:45″][tm_heading tag=\u00bbdiv\u00bb custom_google_font=\u00bb\u00bb google_fonts=\u00bbfont_family:Poppins%3A300%2Cregular%2C500%2C600%2C700|font_style:400%20regular%3A400%3Anormal\u00bb text_color=\u00bbcustom\u00bb custom_text_color=\u00bb#4e4e4e\u00bb font_size=\u00bblg:16″]Artificial Intelligence is a broader field: it is a science where machine learning is a sub-domain. The objective is to simulate human intelligence in a computer that will act and think like a human.[\/tm_heading][tm_spacer size=\u00bblg:45″][tm_heading tag=\u00bbdiv\u00bb custom_google_font=\u00bb\u00bb google_fonts=\u00bbfont_family:Poppins%3A300%2Cregular%2C500%2C600%2C700|font_style:400%20regular%3A400%3Anormal\u00bb text_color=\u00bbcustom\u00bb custom_text_color=\u00bb#4e4e4e\u00bb font_size=\u00bblg:16″]Now that you have a general idea, we are going to look at the application of machine learning to combat COVID-19;[\/tm_heading][tm_spacer size=\u00bblg:45″][tm_heading tag=\u00bbdiv\u00bb custom_google_font=\u00bb\u00bb google_fonts=\u00bbfont_family:Poppins%3A300%2Cregular%2C500%2C600%2C700|font_style:400%20regular%3A400%3Anormal\u00bb text_color=\u00bbcustom\u00bb custom_text_color=\u00bb#4e4e4e\u00bb font_size=\u00bblg:16″]The impact of Covid-19 on Greentech has been seen in one of our articles (Greentech & Healththech: the next investment) and in this one we will see how the Machine Learning can help to counter climate change. [\/tm_heading][tm_spacer size=\u00bblg:45″][tm_heading tag=\u00bbdiv\u00bb custom_google_font=\u00bb\u00bb google_fonts=\u00bbfont_family:Poppins%3A300%2Cregular%2C500%2C600%2C700|font_style:400%20regular%3A400%3Anormal\u00bb text_color=\u00bbcustom\u00bb custom_text_color=\u00bb#4e4e4e\u00bb font_size=\u00bblg:16″]The growing momentum of actions to fight against global warming has been slowed down by the coronavirus crisis and the economic pressure on companies may sweep away the priority on energy transition. The dilemma is to find a balance between a rapid and effective recovery of economic activity and avoiding a return to a \u00abglory days\u00bb where little attention were paid to the environment.[\/tm_heading][tm_spacer size=\u00bblg:25″][tm_heading tag=\u00bbdiv\u00bb custom_google_font=\u00bb\u00bb google_fonts=\u00bbfont_family:Poppins%3A300%2Cregular%2C500%2C600%2C700|font_style:400%20regular%3A400%3Anormal\u00bb text_color=\u00bbcustom\u00bb custom_text_color=\u00bb#4e4e4e\u00bb font_size=\u00bblg:16″]For example, Machine Learning can be used in predicting the consumption of the electrical system. In France, for example, since lockdown started, electricity consumption has decreased by 20%, according to RTE, due to the complete or partial shutdowns of companies’ activities.[\/tm_heading][tm_spacer size=\u00bblg:35″][tm_heading tag=\u00bbdiv\u00bb custom_google_font=\u00bb\u00bb google_fonts=\u00bbfont_family:Poppins%3A300%2Cregular%2C500%2C600%2C700|font_style:400%20regular%3A400%3Anormal\u00bb text_color=\u00bbcustom\u00bb custom_text_color=\u00bb#4e4e4e\u00bb font_size=\u00bblg:16″]Similarly, England has seen a decrease of its consumption between 15 and 20%. It is here that Machine Learning can be developed to forecast this change in consumption and give electricity suppliers the possibility to readjust their electricity production strategy.[\/tm_heading][tm_spacer size=\u00bblg:35″][tm_heading tag=\u00bbdiv\u00bb custom_google_font=\u00bb\u00bb google_fonts=\u00bbfont_family:Poppins%3A300%2Cregular%2C500%2C600%2C700|font_style:400%20regular%3A400%3Anormal\u00bb text_color=\u00bbcustom\u00bb custom_text_color=\u00bb#4e4e4e\u00bb font_size=\u00bblg:16″]Or the optimization of energy consumption with the much greater use of the internet. On average, telecom companies recorded an increase of 30% to 45% of their traffic according to Nokia. The use of videoconferencing tools such as Skype or Zoom are up 300% in the US. Telecommunication network giants can use Machine Learning to optimize energy consumption in their data center and be able to meet international demand.[\/tm_heading][tm_spacer size=\u00bblg:45″][tm_heading tag=\u00bbdiv\u00bb custom_google_font=\u00bb\u00bb google_fonts=\u00bbfont_family:Poppins%3A300%2Cregular%2C500%2C600%2C700|font_style:400%20regular%3A400%3Anormal\u00bb text_color=\u00bbcustom\u00bb custom_text_color=\u00bb#4e4e4e\u00bb font_size=\u00bblg:16″]You have to understand that Machine Learning is a very versatile technology in its use and can be applied in all sectors and areas of activity. It\u2019s a resource that can obviously be synergized with other technologies such as Blockchain Augmented\/Virtual Reality, or IOT . We will discuss these synergies in a future article. 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