energy.n-side.com
Open in
urlscan Pro
2606:2c40::c73c:67e4
Public Scan
URL:
https://energy.n-side.com/webinars/short-term-electricity-prices-how-ai-can-help-you-build-confidence-in-the-current-marke...
Submission: On April 12 via api from NL — Scanned from NL
Submission: On April 12 via api from NL — Scanned from NL
Form analysis
2 forms found in the DOMPOST https://my.demio.com/reg/v01gNzpwJyhaOb9k
<form class="demio-embed-form demio-embed-form-responsive" novalidate="" target="_top" method="post" action="https://my.demio.com/reg/v01gNzpwJyhaOb9k" enctype="application/x-www-form-urlencoded" style="width: 100%;" data-hs-cf-bound="true">
<div class="demio-form-field">
<div id="demio-calendar"></div>
</div>
<div class="demio-form-field"><label class="label-element"><input type="text" name="name" placeholder="First Name" required="" maxlength="120" value=""></label></div>
<div class="demio-form-field"><label class="label-element"><input type="text" name="last_name" placeholder="Last Name" required="" maxlength="120" value=""></label></div>
<div class="demio-form-field"><label class="label-element"><input type="email" name="email" placeholder="Email" required="" maxlength="254" pattern="^\S+@\S+\.\S+$" value=""></label></div>
<div class="demio-form-field"><label class="label-element"><input type="text" name="company" placeholder="Company" required="" maxlength="120" value=""></label></div><button type="submit" class=""
style="background-color: rgb(0, 172, 194);">REGISTER</button>
<div class="demio-embed-noti">By registering, you agree to the <a target="_blank" href="https://demio.com/registration-terms-and-conditions" style="color: rgb(0, 172, 194);">terms</a> and
<a target="_blank" href="https://www.banzai.io/legal/privacy-policy" style="color: rgb(0, 172, 194);">privacy policy</a>.</div>
</form>
POST https://forms.hsforms.com/submissions/v3/public/submit/formsnext/multipart/7722445/51736b7e-78fd-4211-a035-9aa82cbf4119
<form novalidate="" accept-charset="UTF-8" action="https://forms.hsforms.com/submissions/v3/public/submit/formsnext/multipart/7722445/51736b7e-78fd-4211-a035-9aa82cbf4119" enctype="multipart/form-data"
id="hsForm_51736b7e-78fd-4211-a035-9aa82cbf4119_5738" method="POST"
class="hs-form stacked hs-custom-form hs-form-private hsForm_51736b7e-78fd-4211-a035-9aa82cbf4119 hs-form-51736b7e-78fd-4211-a035-9aa82cbf4119 hs-form-51736b7e-78fd-4211-a035-9aa82cbf4119_d0368dc1-b96c-4cf9-9978-a390070f0a77"
data-form-id="51736b7e-78fd-4211-a035-9aa82cbf4119" data-portal-id="7722445" target="target_iframe_51736b7e-78fd-4211-a035-9aa82cbf4119_5738" data-reactid=".hbspt-forms-0" data-hs-cf-bound="true">
<div data-reactid=".hbspt-forms-0.1:$0">
<div class="hs-richtext hs-main-font-element" data-reactid=".hbspt-forms-0.1:$0.0">
<p>Stay Connected</p>
</div>
</div>
<div class="hs_email hs-email hs-fieldtype-text field hs-form-field" data-reactid=".hbspt-forms-0.1:$1"><label id="label-email-51736b7e-78fd-4211-a035-9aa82cbf4119_5738" class="" placeholder="Enter your "
for="email-51736b7e-78fd-4211-a035-9aa82cbf4119_5738" data-reactid=".hbspt-forms-0.1:$1.0"><span data-reactid=".hbspt-forms-0.1:$1.0.0"></span></label>
<legend class="hs-field-desc" style="display:none;" data-reactid=".hbspt-forms-0.1:$1.1"></legend>
<div class="input" data-reactid=".hbspt-forms-0.1:$1.$email"><input id="email-51736b7e-78fd-4211-a035-9aa82cbf4119_5738" class="hs-input" type="email" name="email" required="" placeholder="Work Email Address*" value="" autocomplete="email"
data-reactid=".hbspt-forms-0.1:$1.$email.0" inputmode="email"></div>
</div>
<div class="hs_interest__c hs-interest__c hs-fieldtype-checkbox field hs-form-field" style="display:none;" data-reactid=".hbspt-forms-0.1:$2"><label id="label-interest__c-51736b7e-78fd-4211-a035-9aa82cbf4119_5738" class=""
placeholder="Enter your Interest" for="interest__c-51736b7e-78fd-4211-a035-9aa82cbf4119_5738" data-reactid=".hbspt-forms-0.1:$2.0"><span data-reactid=".hbspt-forms-0.1:$2.0.0">Interest</span></label>
<legend class="hs-field-desc" style="display:none;" data-reactid=".hbspt-forms-0.1:$2.1"></legend>
<div class="input" data-reactid=".hbspt-forms-0.1:$2.$interest__c"><input name="interest__c" class="hs-input" type="hidden" value="N-SIDE Energy Analytics solutions" data-reactid=".hbspt-forms-0.1:$2.$interest__c.0"></div>
</div>
<div class="hs_lifecyclestage hs-lifecyclestage hs-fieldtype-radio field hs-form-field" style="display:none;" data-reactid=".hbspt-forms-0.1:$3"><label id="label-lifecyclestage-51736b7e-78fd-4211-a035-9aa82cbf4119_5738" class=""
placeholder="Enter your Lifecycle stage" for="lifecyclestage-51736b7e-78fd-4211-a035-9aa82cbf4119_5738" data-reactid=".hbspt-forms-0.1:$3.0"><span data-reactid=".hbspt-forms-0.1:$3.0.0">Lifecycle stage</span></label>
<legend class="hs-field-desc" style="display:none;" data-reactid=".hbspt-forms-0.1:$3.1"></legend>
<div class="input" data-reactid=".hbspt-forms-0.1:$3.$lifecyclestage"><input name="lifecyclestage" class="hs-input" type="hidden" value="subscriber" data-reactid=".hbspt-forms-0.1:$3.$lifecyclestage.0"></div>
</div><noscript data-reactid=".hbspt-forms-0.2"></noscript>
<div class="hs_submit hs-submit" data-reactid=".hbspt-forms-0.5">
<div class="hs-field-desc" style="display:none;" data-reactid=".hbspt-forms-0.5.0"></div>
<div class="actions" data-reactid=".hbspt-forms-0.5.1"><input type="submit" value="Submit" class="hs-button primary large" data-reactid=".hbspt-forms-0.5.1.0"></div>
</div><noscript data-reactid=".hbspt-forms-0.6"></noscript><input name="hs_context" type="hidden"
value="{"rumScriptExecuteTime":2056,"rumServiceResponseTime":2288.3999977111816,"rumFormRenderTime":1.6000022888183594,"rumTotalRenderTime":2290.7000007629395,"rumTotalRequestTime":231.1999969482422,"lang":"en","clonedFromForm":"4d6e7916-7666-48c7-9491-89c3a6ef05f7","embedAtTimestamp":"1649774826421","formDefinitionUpdatedAt":"1648124465090","pageUrl":"https://energy.n-side.com/webinars/short-term-electricity-prices-how-ai-can-help-you-build-confidence-in-the-current-market-volatility-2022","pageTitle":"Short-term electricity prices: How AI can help you build confidence in the current market volatility | webinar","source":"FormsNext-static-5.474","sourceName":"FormsNext","sourceVersion":"5.474","sourceVersionMajor":"5","sourceVersionMinor":"474","timestamp":1649774826429,"userAgent":"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/100.0.4896.75 Safari/537.36","originalEmbedContext":{"portalId":"7722445","formId":"51736b7e-78fd-4211-a035-9aa82cbf4119","formInstanceId":"5738","pageId":"67918995725","region":"na1","pageName":"Short-term electricity prices: How AI can help you build confidence in the current market volatility | webinar","inlineMessage":true,"rawInlineMessage":"Thanks for submitting the form.","hsFormKey":"51da8c6d874a6c765ac1e8bb3bbc1c29","target":"#hs_form_target_form_348904699","contentType":"landing-page","formsBaseUrl":"/_hcms/forms/","formData":{"cssClass":"hs-form stacked hs-custom-form"}},"canonicalUrl":"https://energy.n-side.com/webinars/short-term-electricity-prices-how-ai-can-help-you-build-confidence-in-the-current-market-volatility-2022","pageId":"67918995725","pageName":"Short-term electricity prices: How AI can help you build confidence in the current market volatility | webinar","formInstanceId":"5738","renderedFieldsIds":["email"],"rawInlineMessage":"Thanks for submitting the form.","hsFormKey":"51da8c6d874a6c765ac1e8bb3bbc1c29","formTarget":"#hs_form_target_form_348904699","correlationId":"f2f00b38-4455-4a1b-b3c5-cb046ff2680a","contentType":"landing-page","hutk":"af2004d452c2ed72efefc61605d8e208","captchaStatus":"NOT_APPLICABLE","isHostedOnHubspot":true}"
data-reactid=".hbspt-forms-0.7"><iframe name="target_iframe_51736b7e-78fd-4211-a035-9aa82cbf4119_5738" style="display:none;" data-reactid=".hbspt-forms-0.8"></iframe>
</form>
Text Content
We use cookies to improve your experience and deliver personalized content. By clicking Accept, you agree to our Cookie Policy. Accept Decline Solutions System operator solutions SYSTEM OPERATOR SOLUTIONS N-SIDE helps system and network operators (DSOs, TSOs, ISOs, etc.) make optimal decisions with advanced analytics, industry experience, and software expertise. View all solutions Power exchange solutions POWER EXCHANGE SOLUTIONS Seamlessly match supply and demand in challenging electricity markets. N-SIDE is the trusted provider of auction-based electricity market clearing algorithms. View all solutions Market participant solutions MARKET PARTICIPANT SOLUTIONS N-SIDE helps buyers and sellers reduce their risks and make optimal decisions by anticipating the price dynamics of short-term electricity markets. View all solutions Products Forecasting FORECASTING N-SIDE uses machine learning to produce a variety of forecasts for system operators and market participants, including system imbalance, electricity price, and energy volume. Learn more (system operators) Learn more (market participants) Power Matching POWER MATCHING This robust market clearing algorithm matches supply and demand bids in a closed-gate auction fashion, considering potential congestion and other constraints. Learn more (system operators) Learn more (power exchanges) Outage Planning Optimization OUTAGE PLANNING OPTIMIZATION Leverage advanced analytics to determine the optimal strategy and daily schedule for grid interventions and related outages. Learn more Dynamic Reserves Dimensioning DYNAMIC RESERVES DIMENSIONING TSOs: dynamically adapt reserves volume based on the real imbalance risk faced by the system using machine learning and advanced analytics. Learn more Professional Services PROFESSIONAL SERVICES Whether your challenge can be solved by our existing products or requires the development of new analytics solutions and market design approaches, our team is ready to help. View all services Market Design Get expert insight into innovative market design questions. Co-creation Build the optimal solution with help from the experts. Match-Integrate-Support Maximize the impact of our products while minimizing risk. Resources RESOURCES The latest insights from N-SIDE View all resources News Events & Webinar Brochures FAQ About About N-Side Careers Request info WEBINAR SHORT-TERM ELECTRICITY PRICES: HOW AI CAN HELP YOU BUILD CONFIDENCE IN THE CURRENT MARKET VOLATILITY DATE April 28, 2022 LOCATION Online Event TIMING 03:00 pm - 04:00 pm (CET) REGISTER NOW CONTEXT In the last few months, the evolution of electricity prices have pushed energy market participants to find newer, more innovative forecasting solutions. Being able to anticipate short-term electricity prices from day-ahead to real-time with the right level of accuracy, such us minimizing absolute errors, is no longer sufficient. Electricity generators and producers, flexible asset owners, traders, and retailers are now looking for AI-powered solutions that will give them the data and insights they need to make market moves with more confidence in increasingly uncertain times. During this webinar we'll show you how N-SIDE's AI software can deliver forecasted values along with their associated confidence levels, allowing you to make the best decisions possible. WHAT YOU WILL LEARN * How to optimise the usage of your flexible asset with AI models * How to increase the value of your portfolio on short-term markets with confidence while relying on machine learning models * How to keep visibility on the main fundamentals behind short-term electricity prices * Which technologies are best suited to build forecasts with sound confidence level estimates SPEAKERS Michael Malcorps Head of Energy Forecasting Product Management With a background in Business Engineering and the exposure to various advanced analytics start-ups, Michael is passionate about the energy sector and the development of innovative solutions to accelerate the energy transition. After putting a strong focus on the development of N-SIDE Energy activities towards different types of actors, he now has specific expertise in energy forecasting solutions for market participants. Michael now leads the Energy Forecasting Platform team at N-SIDE. PIERRE ARTOISENET Energy Senior Expert With a background in physics and statistics, Pierre has built robust statistical analysis and numerical modeling skills, first in the high-energy physics academic community and then in the corporate energy sector. Besides his technical work, Pierre has produced high-quality reports (including international publications in prestigious journals) and presented talks on many occasions. At N-SIDE, Pierre led a technology suite of innovative algorithms for energy price & volume forecasts, and brought breakthroughs in the field of Explainable AI (XAI) to increase interpretability of trained models. REGISTER TO OUR WEBINAR REGISTER By registering, you agree to the terms and privacy policy. We are committed to respecting your privacy and protecting your personal data. N-SIDE collects and processes personal data submitted in a lawful manner and in accordance with the privacy statement available in the privacy policy. Personal information submitted will only be used by N-SIDE to ensure an effective follow-up of the request and will be used for this purpose only. * Solutions * Products * Professional Services * Resources * About * Careers * Contact Us * Request Info Stay Connected Interest Lifecycle stage Copyright © 2022 N-SIDE. All rights reserved. * Privacy Policy * Terms of Service